19 System Architecture jobs in Mumbai
Solution Architecture M5
Posted today
Job Viewed
Job Description
**Responsibilities**
People Management
- Managers deliver success through empowerment and accountability by modeling, coaching, and caring.
- Model - Live our culture. Embody our values. Practice our leadership principles.
- Coach - Define team objectives and outcomes. Enable success across boundaries. Help the team adapt and learn.
- Care - Attract and retain great people. Know each individual’s capabilities and aspirations. Invest in the growth of others.
Understanding Customer/Partner Technical Environment
- Provides support for their team in gathering and propagating customer/partner insights to help shape and form both the definition and ongoing execution of the project. Holds teams accountable for mapping architecture and digital transformation solutions to customer/partner business goals. Leverages prior work, customer/partner insights, and industry trends, and shares insights with team to apply.
- Supports their team in working with customer/partner stakeholders (e.g., Enterprise Architects, Security Team, Development Team, Operations Team) and business sponsor to socialize both the business solution and the project approach. Advises team on managing changes and facilitating feedback. Contributes to Microsoft-centric operations and cadences to align with customer feedback.
- Drives internal advocacy by facilitating insight sharing with Product Engineering teams, and providing guidance through escalation, acceleration, and prioritization. Looks across multiple customers/partners for opportunities to consolidate and prioritize items across the business.
Architecture Design and Deployment
- Holds teams accountable for leveraging existing architecture approaches to achieve Microsoft's agreed commitments to the customer/partner and developing new solutions to scale across multiple customers/partners and markets.
- Guides team in defining and documenting the architecture through an architecture description document, an architecture decisions log, and a requirements/constraints traceability matrix. Ensures team is equipped to communicate the value proposition of the business solution along with the project approach. Guides team in cost-based and technology-based discussions to explain the architecture in terms of its build, deployment, and ongoing operational use to determine customer appetite for the business solution. Promotes a business-value approach that values return on investment (ROI) and customer costs-savings over technical ease of execution. Provides coaching to allow architects to scale solutions.
- Collaborates with the other managers to jointly drive project/technical governance of the design, build, and deployment into use of proof of concepts (POCs) and pilots. Provides guidance to team in understanding and demonstrating business value (e.g., release of revenue, cost savings) that the business solution realizes.
- Guides team in working with the business sponsor and customer/partner stakeholders (e.g., Business users, Enterprise Architects, Security Team, Operations Team) to gather and ratify requirements and constraints. Supports team in managing and resolving complex ambiguity in the requirements and constraints and documents assumptions and implications where it cannot be resolved. Ensures maintenance of the requirements/constraints traceability matrix to prove that solution components have a rationale/justification for inclusion in the Architecture of the business solution. Oversees development and execution of test plans to prove that each requirement/constraint has been implemented as expected by the customer.
- Leads team in collaborating to understand the business solution/problem. Drives agreement, based on the customer’s priorities, requirements/constraints, approach, principles, concepts, and expectations. Ensures team builds and documents a realistically costed, advanced/complex solution approach. Provides thought leadership on oversight and governance sets expectations for quality practices and standards to realize the business solution. Promotes a cohesive build methodology so the solution can be transitioned to live operations, leveraging solution expertise. Ensures communication of and adherence to the pre-sales value proposition.
- Creates a culture and clarity around technical insights and escalations, and ensures broad sets of projects move forward. Provides support and guidance to team in identifying scenarios that could slow or impede pre-sales/delivery. Resolves escalations as needed and coaches team on best practices for handling escalations. Ensures that issues and blockers and addressed by the appropriate groups. Identifies patterns in blockers across business areas or a territory.
- Works in close collaboration with the Project Manager and Account Team to identify, categorize, and communicate business and technical risks. Defines risk mitigation activities that are foundational to the project plan. Defines risk contingency plans for inv
Solution Architecting Solution Architecture
Posted today
Job Viewed
Job Description
We embrace change to create 360-degree value
- **Project Role**:Solution Architecture Practitioner
- **
Project Role Description**:Support the Solution Architect providing solution design and solution approval process. When required, provide costing, response development and operations support.
- **
Management Level**:9
- **
Work Experience**:6-8 years
- **
Work location**:Mumbai
- **
Must Have Skills**:Solution Architecting
- **
Good To Have Skills**:Solution Planning Costing & Pricing
- **
Job Requirements**:
- **Key Responsibilities **:Critical client-facing consulting role that interprets and translates client requirements into a technology solution that can be configured from a standard set of offerings Acts as a key member of the deal/sales team to represent the technology solution offering to the client/internal groups drives the sign off on the technology solution and acts as an interface with the delivery organization to ensure effective transition, shape services and determine appropriate structure, delivery location
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Technical Experience **:Expert in formulating and bringing the story live to articulate client value propositions, Good hustling ability, Product/concept selling, Excellent in communication/articulation, Pre-sales/Solution Architecting, proven client facing skills, Executive Presence
- **
Professional Attributes **:Strong business analysis skills and ability to exercise judgment Excellent client focus and interpersonal skills to develop relationships with clients and team Excellent writing, communication and presentation skills Eagerness to learn and develop self on an ongoing basis
- **
Educational Qualification **:BE - 15 Months MBA
- **
Additional Information **:Fluency in English, additional languages will be considered as an asset
15 years of full time education
Specialist / Sr. Specialist, Solution Architecture
Posted 3 days ago
Job Viewed
Job Description
Job Number # - Mumbai, Maharashtra, India
**Who We Are**
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
**Brief introduction - Role Summary/Purpose :**
+ _Colgate-Palmolive is looking for a Solution Architect to join its growing Global Analytics organization. As a Solution Architect you need to understand the business we support and will be responsible to provide direction to a team of engineers to ensure data needs to meet business demands in various functions._
+ _This position will establish Solution Architecture principles, build models of data that enable the implementation of the business architecture, generate diagrams displaying keydata entities, and produce an inventory of the data needed to realize the architecture vision._
+ _Our teams work on the latest data technologies in the Cloud space including Snowflake, BigQuery, DBT, Apache Airflow, Apache Iceberg, Spark and more. This position will be focused on building out and leading the vision for our external and internal data in our modern cloud data platform._
+ _The candidate should be comfortable in playing a lead role towards the evolution of technology deployments across the global footprint._
**Responsibilities :**
+ _Architecting Solutions_
+ _Translate business needs into long-term architecture solutions in key data areas for syndicated, point of sale and indirect trade data_
+ _Define, design, and help architect solution and coordinating and communicating with GIT Teams for implementation_
+ _Define, design, and build data models for use by the business_
+ _Evaluate reusability of current data for additional analyses_
+ _Review object and data models and the metadata repository to structure the data for better management and quicker access_
+ _Define how the data is stored, consumed, coordinated and led by different data entities and IT systems._
+ _Engage with the data management team in best practices for data sourcing, key data elements, data quality management and metadata._
+ _Engage with the data warehousing team in the migration to cloud warehousing_
+ _Provide data initiatives, evaluations, and mentorship with projects in accordance to our corporate guidelines._
+ _Build expertise in diverse and emerging technologies and new architectural concepts and principles._
**Required Qualifications :**
+ _Bachelor's or higher degree in Computer Science, Management Information Systems, or a related field._
+ _3+ years professional experience as a data analyst, Solution Architect, data engineer, or related role developing conceptual, logical, and preliminary physical models for an enterprise_
+ _Experience with programming languages like Python, Java, SQL or Cloud technologies_
+ _Experience working with cloud environments (e.g.- GCP, AWS)._
+ _Experience working with cloud data warehousing (e.g.- Snowflake, BigQuery)_
+ _Strong Communication and Interpersonal Skills_
+ _Willingness to gain training/certification in designated technologies_
**Preferred Qualifications :**
+ _Database architecture and data warehousing experience_
+ _Data management experience_
+ _Project management_
+ _Experience with containerization technologies (e.g.- Docker, Kubernetes)._
**Our Commitment to Inclusion**
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
**Equal Opportunity Employer**
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form ( should you require accommodation.
#LI-Hybrid
Specialist / Sr. Specialist, Solution Architecture
Posted today
Job Viewed
Job Description
Relocation Assistance Offered Within Country
Job Number # - Mumbai, Maharashtra, India
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
Brief introduction - Role Summary/Purpose :
Colgate-Palmolive is looking for a Solution Architect to join its growing Global Analytics organization. As a Solution Architect you need to understand the business we support and will be responsible to provide direction to a team of engineers to ensure data needs to meet business demands in various functions.
This position will establish Solution Architecture principles, build models of data that enable the implementation of the business architecture, generate diagrams displaying keydata entities, and produce an inventory of the data needed to realize the architecture vision.
Our teams work on the latest data technologies in the Cloud space including Snowflake, BigQuery, DBT, Apache Airflow, Apache Iceberg, Spark and more. This position will be focused on building out and leading the vision for our external and internal data in our modern cloud data platform.
The candidate should be comfortable in playing a lead role towards the evolution of technology deployments across the global footprint.
Responsibilities :
Architecting Solutions
Translate business needs into long-term architecture solutions in key data areas for syndicated, point of sale and indirect trade data
Define, design, and help architect solution and coordinating and communicating with GIT Teams for implementation
Define, design, and build data models for use by the business
Evaluate reusability of current data for additional analyses
Review object and data models and the metadata repository to structure the data for better management and quicker access
Define how the data is stored, consumed, coordinated and led by different data entities and IT systems.
Engage with the data management team in best practices for data sourcing, key data elements, data quality management and metadata.
Engage with the data warehousing team in the migration to cloud warehousing
Provide data initiatives, evaluations, and mentorship with projects in accordance to our corporate guidelines.
Build expertise in diverse and emerging technologies and new architectural concepts and principles.
Required Qualifications :
Bachelor’s or higher degree in Computer Science, Management Information Systems, or a related field.
3+ years professional experience as a data analyst, Solution Architect, data engineer, or related role developing conceptual, logical, and preliminary physical models for an enterprise
Experience with programming languages like Python, Java, SQL or Cloud technologies
Experience working with cloud environments (e.g.- GCP, AWS).
Experience working with cloud data warehousing (e.g.- Snowflake, BigQuery)
Strong Communication and Interpersonal Skills
Willingness to gain training/certification in designated technologies
Preferred Qualifications :
Database architecture and data warehousing experience
Data management experience
Project management
Experience with containerization technologies (e.g.- Docker, Kubernetes).
Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
#LI-Hybrid
Data solution architect - •minimum 7+ years in solution architecture - immediate joiners only
Posted today
Job Viewed
Job Description
Solution Architect – Data Platforms & Solution DeliveryExperience: Minimum 7+ years in solution/data architecture and large-scale implementationsDepartment: DIA – Architecture team Role SummaryWe are seeking an experienced Solution Architect to drive the design and delivery of enterprise data and analytics solutions. You will work closely with business and technical teams to understand project requirements, develop conceptual and logical architectures, and oversee full lifecycle implementations—ensuring that solutions are scalable, secure, and aligned to business objectives. This role requires strong expertise in modern data platforms, cloud architectures, and end-to-end solution delivery in complex environments. Key Responsibilities Work with stakeholders to gather and analyze business, data, and technical requirements for new and evolving data solutions. Develop conceptual, logical, and physical solution architectures for data platforms, data products, analytics, and AI/ML projects. Guide projects through the entire solution lifecycle, from requirements and design to build, testing, and deployment. Integrate data from multiple sources (SAP and non-SAP), ensuring interoperability and seamless data flow. Define solution-level security, access controls, and compliance requirements in partnership with data governance and security teams. Lead efforts in performance optimization, cost management, and solution scalability. Produce clear technical documentation and solution architecture diagrams to support implementation and knowledge transfer. Stay up-to-date with advances in cloud, data engineering, and analytics technologies and recommend improvements. Collaborate across teams—including data engineers, data scientists, Dev Ops, and business stakeholders—to ensure effective delivery and adoption of solutions. Experience & Technical ProficiencyExperience: Minimum 7+ years in solution architecture, data architecture, or platform engineering roles. Proven experience delivering end-to-end data and analytics solutions in large-scale, complex environments.Technical Proficiency:Solution Architecture & Data Platforms: Designing data platforms and architecture (conceptual, logical, physical) Cloud-native and hybrid data solutions (Databricks Lakehouse, AWS) Integration of SAP and non-SAP data sourcesDatabricks Lakehouse Platform: Medallion Architecture Delta Lake & DLT Pipelines Py Spark Workbooks Spark SQL & SQL Warehouse Unity Catalog (data governance, lineage) Genie (query performance, indexing) Security & Role-Based Access ControlProgramming: Python, SQL, Py Spark, Spark, ScalaAWS Cloud Services: IAM, S3, Lambda, EMR, Redshift, BedrockSolution Delivery: Familiarity with Dev Ops and CI/CD processes Solution documentation and architecture diagramming Performance tuning and cost optimizationOther: Experience with data modeling (ER, dimensional) Knowledge of data security and compliance frameworks Strong communication, presentation, and stakeholder management skills Education Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field. Preferred Qualifications Certifications in Databricks, AWS, or Solution Architecture Experience with SAP ERP, S/4 HANA, Data Sphere, ABAP, and CDS views Exposure to data mesh or data product management concepts Background in manufacturing or enterprise analytics environments
DATA Solution Architect - •Minimum 7+ years in solution architecture - Immediate Joiners only
Posted today
Job Viewed
Job Description
Solution Architect – Data Platforms & Solution Delivery
Experience: Minimum 7+ years in solution/data architecture and large-scale implementations
Department: DIA – Architecture team
Role Summary
We are seeking an experienced Solution Architect to drive the design and delivery of enterprise data and analytics solutions. You will work closely with business and technical teams to understand project requirements, develop conceptual and logical architectures, and oversee full lifecycle implementations—ensuring that solutions are scalable, secure, and aligned to business objectives. This role requires strong expertise in modern data platforms, cloud architectures, and end-to-end solution delivery in complex environments.
Key Responsibilities
> Work with stakeholders to gather and analyze business, data, and technical requirements for new and evolving data solutions.
> Develop conceptual, logical, and physical solution architectures for data platforms, data products, analytics, and AI/ML projects.
> Guide projects through the entire solution lifecycle, from requirements and design to build, testing, and deployment.
> Integrate data from multiple sources (SAP and non-SAP), ensuring interoperability and seamless data flow.
> Define solution-level security, access controls, and compliance requirements in partnership with data governance and security teams.
> Lead efforts in performance optimization, cost management, and solution scalability.
> Produce clear technical documentation and solution architecture diagrams to support implementation and knowledge transfer.
> Stay up-to-date with advances in cloud, data engineering, and analytics technologies and recommend improvements.
> Collaborate across teams—including data engineers, data scientists, DevOps, and business stakeholders—to ensure effective delivery and adoption of solutions.
Experience & Technical Proficiency
Experience:
> Minimum 7+ years in solution architecture, data architecture, or platform engineering roles.
> Proven experience delivering end-to-end data and analytics solutions in large-scale, complex environments.
Technical Proficiency:
Solution Architecture & Data Platforms:
> Designing data platforms and architecture (conceptual, logical, physical)
> Cloud-native and hybrid data solutions (Databricks Lakehouse, AWS)
> Integration of SAP and non-SAP data sources
Databricks Lakehouse Platform:
> Medallion Architecture
> Delta Lake & DLT Pipelines
> PySpark Workbooks
> Spark SQL & SQL Warehouse
> Unity Catalog (data governance, lineage)
> Genie (query performance, indexing)
> Security & Role-Based Access Control
Programming:
> Python, SQL, PySpark, Spark, Scala
AWS Cloud Services:
> IAM, S3, Lambda, EMR, Redshift, Bedrock
Solution Delivery:
> Familiarity with DevOps and CI/CD processes
> Solution documentation and architecture diagramming
> Performance tuning and cost optimization
Other:
> Experience with data modeling (ER, dimensional)
> Knowledge of data security and compliance frameworks
> Strong communication, presentation, and stakeholder management skills
Education
> Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
Preferred Qualifications
> Certifications in Databricks, AWS, or Solution Architecture
> Experience with SAP ERP, S/4HANA, DataSphere, ABAP, and CDS views
> Exposure to data mesh or data product management concepts
> Background in manufacturing or enterprise analytics environments
DATA Solution Architect - •Minimum 7+ years in solution architecture - Immediate Joiners only
Posted today
Job Viewed
Job Description
Solution Architect – Data Platforms & Solution Delivery
Experience: Minimum 7+ years in solution/data architecture and large-scale implementations
Department: DIA – Architecture team
Role Summary
We are seeking an experienced Solution Architect to drive the design and delivery of enterprise data and analytics solutions. You will work closely with business and technical teams to understand project requirements, develop conceptual and logical architectures, and oversee full lifecycle implementations—ensuring that solutions are scalable, secure, and aligned to business objectives. This role requires strong expertise in modern data platforms, cloud architectures, and end-to-end solution delivery in complex environments.
Key Responsibilities
> Work with stakeholders to gather and analyze business, data, and technical requirements for new and evolving data solutions.
> Develop conceptual, logical, and physical solution architectures for data platforms, data products, analytics, and AI/ML projects.
> Guide projects through the entire solution lifecycle, from requirements and design to build, testing, and deployment.
> Integrate data from multiple sources (SAP and non-SAP), ensuring interoperability and seamless data flow.
> Define solution-level security, access controls, and compliance requirements in partnership with data governance and security teams.
> Lead efforts in performance optimization, cost management, and solution scalability.
> Produce clear technical documentation and solution architecture diagrams to support implementation and knowledge transfer.
> Stay up-to-date with advances in cloud, data engineering, and analytics technologies and recommend improvements.
> Collaborate across teams—including data engineers, data scientists, DevOps, and business stakeholders—to ensure effective delivery and adoption of solutions.
Experience & Technical Proficiency
Experience:
> Minimum 7+ years in solution architecture, data architecture, or platform engineering roles.
> Proven experience delivering end-to-end data and analytics solutions in large-scale, complex environments.
Technical Proficiency:
Solution Architecture & Data Platforms:
> Designing data platforms and architecture (conceptual, logical, physical)
> Cloud-native and hybrid data solutions (Databricks Lakehouse, AWS)
> Integration of SAP and non-SAP data sources
Databricks Lakehouse Platform:
> Medallion Architecture
> Delta Lake & DLT Pipelines
> PySpark Workbooks
> Spark SQL & SQL Warehouse
> Unity Catalog (data governance, lineage)
> Genie (query performance, indexing)
> Security & Role-Based Access Control
Programming:
> Python, SQL, PySpark, Spark, Scala
AWS Cloud Services:
> IAM, S3, Lambda, EMR, Redshift, Bedrock
Solution Delivery:
> Familiarity with DevOps and CI/CD processes
> Solution documentation and architecture diagramming
> Performance tuning and cost optimization
Other:
> Experience with data modeling (ER, dimensional)
> Knowledge of data security and compliance frameworks
> Strong communication, presentation, and stakeholder management skills
Education
> Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
Preferred Qualifications
> Certifications in Databricks, AWS, or Solution Architecture
> Experience with SAP ERP, S/4HANA, DataSphere, ABAP, and CDS views
> Exposure to data mesh or data product management concepts
> Background in manufacturing or enterprise analytics environments
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DATA Solution Architect - • Minimum 7+ years in solution architecture - Immediate Joiners only
Posted 15 days ago
Job Viewed
Job Description
Solution Architect – Data Platforms & Solution Delivery
Experience: Minimum 7+ years in solution/data architecture and large-scale implementations
Department: DIA – Architecture team
Role Summary
We are seeking an experienced Solution Architect to drive the design and delivery of enterprise data and analytics solutions. You will work closely with business and technical teams to understand project requirements, develop conceptual and logical architectures, and oversee full lifecycle implementations—ensuring that solutions are scalable, secure, and aligned to business objectives. This role requires strong expertise in modern data platforms, cloud architectures, and end-to-end solution delivery in complex environments.
Key Responsibilities
> Work with stakeholders to gather and analyze business, data, and technical requirements for new and evolving data solutions.
> Develop conceptual, logical, and physical solution architectures for data platforms, data products, analytics, and AI/ML projects.
> Guide projects through the entire solution lifecycle, from requirements and design to build, testing, and deployment.
> Integrate data from multiple sources (SAP and non-SAP), ensuring interoperability and seamless data flow.
> Define solution-level security, access controls, and compliance requirements in partnership with data governance and security teams.
> Lead efforts in performance optimization, cost management, and solution scalability.
> Produce clear technical documentation and solution architecture diagrams to support implementation and knowledge transfer.
> Stay up-to-date with advances in cloud, data engineering, and analytics technologies and recommend improvements.
> Collaborate across teams—including data engineers, data scientists, DevOps, and business stakeholders—to ensure effective delivery and adoption of solutions.
Experience & Technical Proficiency
Experience:
> Minimum 7+ years in solution architecture, data architecture, or platform engineering roles.
> Proven experience delivering end-to-end data and analytics solutions in large-scale, complex environments.
Technical Proficiency:
Solution Architecture & Data Platforms:
> Designing data platforms and architecture (conceptual, logical, physical)
> Cloud-native and hybrid data solutions (Databricks Lakehouse, AWS)
> Integration of SAP and non-SAP data sources
Databricks Lakehouse Platform:
> Medallion Architecture
> Delta Lake & DLT Pipelines
> PySpark Workbooks
> Spark SQL & SQL Warehouse
> Unity Catalog (data governance, lineage)
> Genie (query performance, indexing)
> Security & Role-Based Access Control
Programming:
> Python, SQL, PySpark, Spark, Scala
AWS Cloud Services:
> IAM, S3, Lambda, EMR, Redshift, Bedrock
Solution Delivery:
> Familiarity with DevOps and CI/CD processes
> Solution documentation and architecture diagramming
> Performance tuning and cost optimization
Other:
> Experience with data modeling (ER, dimensional)
> Knowledge of data security and compliance frameworks
> Strong communication, presentation, and stakeholder management skills
Education
> Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
Preferred Qualifications
> Certifications in Databricks, AWS, or Solution Architecture
> Experience with SAP ERP, S/4HANA, DataSphere, ABAP, and CDS views
> Exposure to data mesh or data product management concepts
> Background in manufacturing or enterprise analytics environments
DATA Solution Architect - • Minimum 7+ years in solution architecture - Immediate Joiners only
Posted 15 days ago
Job Viewed
Job Description
Solution Architect – Data Platforms & Solution Delivery
Experience: Minimum 7+ years in solution/data architecture and large-scale implementations
Department: DIA – Architecture team
Role Summary
We are seeking an experienced Solution Architect to drive the design and delivery of enterprise data and analytics solutions. You will work closely with business and technical teams to understand project requirements, develop conceptual and logical architectures, and oversee full lifecycle implementations—ensuring that solutions are scalable, secure, and aligned to business objectives. This role requires strong expertise in modern data platforms, cloud architectures, and end-to-end solution delivery in complex environments.
Key Responsibilities
> Work with stakeholders to gather and analyze business, data, and technical requirements for new and evolving data solutions.
> Develop conceptual, logical, and physical solution architectures for data platforms, data products, analytics, and AI/ML projects.
> Guide projects through the entire solution lifecycle, from requirements and design to build, testing, and deployment.
> Integrate data from multiple sources (SAP and non-SAP), ensuring interoperability and seamless data flow.
> Define solution-level security, access controls, and compliance requirements in partnership with data governance and security teams.
> Lead efforts in performance optimization, cost management, and solution scalability.
> Produce clear technical documentation and solution architecture diagrams to support implementation and knowledge transfer.
> Stay up-to-date with advances in cloud, data engineering, and analytics technologies and recommend improvements.
> Collaborate across teams—including data engineers, data scientists, DevOps, and business stakeholders—to ensure effective delivery and adoption of solutions.
Experience & Technical Proficiency
Experience:
> Minimum 7+ years in solution architecture, data architecture, or platform engineering roles.
> Proven experience delivering end-to-end data and analytics solutions in large-scale, complex environments.
Technical Proficiency:
Solution Architecture & Data Platforms:
> Designing data platforms and architecture (conceptual, logical, physical)
> Cloud-native and hybrid data solutions (Databricks Lakehouse, AWS)
> Integration of SAP and non-SAP data sources
Databricks Lakehouse Platform:
> Medallion Architecture
> Delta Lake & DLT Pipelines
> PySpark Workbooks
> Spark SQL & SQL Warehouse
> Unity Catalog (data governance, lineage)
> Genie (query performance, indexing)
> Security & Role-Based Access Control
Programming:
> Python, SQL, PySpark, Spark, Scala
AWS Cloud Services:
> IAM, S3, Lambda, EMR, Redshift, Bedrock
Solution Delivery:
> Familiarity with DevOps and CI/CD processes
> Solution documentation and architecture diagramming
> Performance tuning and cost optimization
Other:
> Experience with data modeling (ER, dimensional)
> Knowledge of data security and compliance frameworks
> Strong communication, presentation, and stakeholder management skills
Education
> Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
Preferred Qualifications
> Certifications in Databricks, AWS, or Solution Architecture
> Experience with SAP ERP, S/4HANA, DataSphere, ABAP, and CDS views
> Exposure to data mesh or data product management concepts
> Background in manufacturing or enterprise analytics environments
DATA Solution Architect - • Minimum 7+ years in solution architecture - Immediate Joiners only
Posted 15 days ago
Job Viewed
Job Description
Solution Architect – Data Platforms & Solution Delivery
Experience: Minimum 7+ years in solution/data architecture and large-scale implementations
Department: DIA – Architecture team
Role Summary
We are seeking an experienced Solution Architect to drive the design and delivery of enterprise data and analytics solutions. You will work closely with business and technical teams to understand project requirements, develop conceptual and logical architectures, and oversee full lifecycle implementations—ensuring that solutions are scalable, secure, and aligned to business objectives. This role requires strong expertise in modern data platforms, cloud architectures, and end-to-end solution delivery in complex environments.
Key Responsibilities
> Work with stakeholders to gather and analyze business, data, and technical requirements for new and evolving data solutions.
> Develop conceptual, logical, and physical solution architectures for data platforms, data products, analytics, and AI/ML projects.
> Guide projects through the entire solution lifecycle, from requirements and design to build, testing, and deployment.
> Integrate data from multiple sources (SAP and non-SAP), ensuring interoperability and seamless data flow.
> Define solution-level security, access controls, and compliance requirements in partnership with data governance and security teams.
> Lead efforts in performance optimization, cost management, and solution scalability.
> Produce clear technical documentation and solution architecture diagrams to support implementation and knowledge transfer.
> Stay up-to-date with advances in cloud, data engineering, and analytics technologies and recommend improvements.
> Collaborate across teams—including data engineers, data scientists, DevOps, and business stakeholders—to ensure effective delivery and adoption of solutions.
Experience & Technical Proficiency
Experience:
> Minimum 7+ years in solution architecture, data architecture, or platform engineering roles.
> Proven experience delivering end-to-end data and analytics solutions in large-scale, complex environments.
Technical Proficiency:
Solution Architecture & Data Platforms:
> Designing data platforms and architecture (conceptual, logical, physical)
> Cloud-native and hybrid data solutions (Databricks Lakehouse, AWS)
> Integration of SAP and non-SAP data sources
Databricks Lakehouse Platform:
> Medallion Architecture
> Delta Lake & DLT Pipelines
> PySpark Workbooks
> Spark SQL & SQL Warehouse
> Unity Catalog (data governance, lineage)
> Genie (query performance, indexing)
> Security & Role-Based Access Control
Programming:
> Python, SQL, PySpark, Spark, Scala
AWS Cloud Services:
> IAM, S3, Lambda, EMR, Redshift, Bedrock
Solution Delivery:
> Familiarity with DevOps and CI/CD processes
> Solution documentation and architecture diagramming
> Performance tuning and cost optimization
Other:
> Experience with data modeling (ER, dimensional)
> Knowledge of data security and compliance frameworks
> Strong communication, presentation, and stakeholder management skills
Education
> Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
Preferred Qualifications
> Certifications in Databricks, AWS, or Solution Architecture
> Experience with SAP ERP, S/4HANA, DataSphere, ABAP, and CDS views
> Exposure to data mesh or data product management concepts
> Background in manufacturing or enterprise analytics environments