136 Data Architect jobs in Noida
Data Architect
Posted today
Job Viewed
Job Description
We are looking for a seasoned Data Architect to lead and shape enterprise-wide data initiatives. This role requires a strategic leader with deep technical expertise and strong stakeholder management skills.
Key Responsibilities
- Act as the architectural authority for Data Integration, Data Governance, and MDM programs.
- Define and oversee High-Level and Low-Level Solution Designs across business, application, and data domains.
- Lead solution roadmaps covering as-is vs. to-be states, business value realization, and scalability.
- Partner with business stakeholders, project managers, and engineering teams to ensure alignment of IT solutions with business needs.
- Provide leadership and direction to teams while ensuring governance and delivery success.
- Engage in presales activities to support the Data & Analytics Center of Excellence.
Required Qualifications
- 15+ years of experience in Data Engineering & Architecture roles.
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Proven expertise in Data Integration, Data Governance, and Master Data Management (MDM).
- Strong knowledge of data modeling, governance, flows, quality, security, privacy, scalability, and performance.
- Excellent stakeholder management and communication skills, with the ability to influence at senior levels.
- Demonstrated leadership experience guiding teams and ensuring delivery of large-scale data programs.
Location: Kochi/ Remote
Please note: We are looking for early joiners.
Interested, Share your resume to
Data Architect
Posted today
Job Viewed
Job Description
We are seeking a highly skilled and strategic Data Architect to design, develop, and manage the organisation’s data architecture. The ideal candidate will ensure that data assets are structured, integrated, and governed to support analytics, reporting, and business intelligence initiatives across the enterprise. This role will work closely with business stakeholders, data engineers, analysts, and IT teams to ensure data is accurate, secure, scalable, and aligned with organisational goals.
Core Responsibilities
Data Strategy & Architecture
- Define and maintain the enterprise data architecture, ensuring alignment with business strategy and technology standards.
- Design data models, databases, and integration patterns that enable high-quality reporting and analytics.
- Establish standards for data storage, retrieval, transformation, and integration across systems.
Data Governance & Quality
- Develop and enforce policies for data governance, security, and compliance (e.g., HIPAA, GDPR, CCPA as applicable).
- Implement data quality frameworks to ensure accuracy, consistency, and completeness of information.
Collaboration & Leadership
- Partner with cross-functional teams (business, engineering, analytics, IT) to understand requirements and translate them into scalable data solutions.
- Provide technical leadership and mentorship to data engineers and developers.
- Collaborate with stakeholders to define metadata, master data management, and data lineage practices.
Technology & Innovation
- Evaluate and recommend modern data management tools, cloud platforms, and emerging technologies.
- Lead initiatives in data modernization, cloud migration, and big data/AI integration.
- Ensure high performance and scalability of enterprise data platforms.
Required Skills
- Experience with Azure Data Services (Azure Fabric, Azure Data Factory, Azure Synapse, Azure Data Lake).
- Knowledge of data security and compliance frameworks.
- Experience supporting AI/ML initiatives through data readiness.
- Prior experience in the retail or healthcare industry is a plus.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
- Proven experience (10+ years) in data architecture, database design, and data modeling.
- Strong expertise with SQL, NoSQL, ETL tools, and cloud data platforms (Azure, AWS, or GCP).
- Hands-on experience with data integration, APIs, data lakes, and data warehouses.
- Knowledge of data governance, master data management, and metadata management.
- Familiarity with analytics, BI tools (e.g., Power BI, Tableau), and reporting frameworks.
- Strong problem-solving, analytical, and communication skills.
Data Architect
Posted today
Job Viewed
Job Description
At Deeter Investments, we thrive on data-driven decision-making and are looking for a Data Architect to design the backbone of our algorithmic division.
This role involves owning critical datasets from ingestion to access, working with traders and researchers to transform external feeds into high-performance datasets.
The ideal candidate will have experience building production data pipelines and platforms, be proficient in Python and SQL, and have familiarity with cloud services.
The Data Architect will partner with quants, data scientists, and software engineers to scope, prototype, and productionize new datasets quickly.
Responsibilities:
- Owning critical datasets from ingestion to access
- Working with traders and researchers to transform external feeds into high-performance datasets
- Partnering with quants, data scientists, and software engineers to scope, prototype, and productionize new datasets quickly
Requirements:
- Experience building production data pipelines and platforms
- Proficiency in Python and SQL
- Familiarity with cloud services
Benefits:
- Opportunity to work with a leading proprietary trading firm
- Chance to build a high-performance data backbone for our team
- Collaborative environment with experienced professionals
Data Architect
Posted today
Job Viewed
Job Description
About the Job
We are seeking a highly skilled and strategic Data Architect to design, develop, and manage the organisation's data architecture. The ideal candidate will ensure that data assets are structured, integrated, and governed to support analytics, reporting, and business intelligence initiatives across the enterprise. This role will work closely with business stakeholders, data engineers, analysts, and IT teams to ensure data is accurate, secure, scalable, and aligned with organisational goals.
Core Responsibilities
Data Strategy & Architecture
- Define and maintain the enterprise data architecture, ensuring alignment with business strategy and technology standards.
- Design data models, databases, and integration patterns that enable high-quality reporting and analytics.
- Establish standards for data storage, retrieval, transformation, and integration across systems.
Data Governance & Quality
- Develop and enforce policies for data governance, security, and compliance (e.g., HIPAA, GDPR, CCPA as applicable).
- Implement data quality frameworks to ensure accuracy, consistency, and completeness of information.
Collaboration & Leadership
- Partner with cross-functional teams (business, engineering, analytics, IT) to understand requirements and translate them into scalable data solutions.
- Provide technical leadership and mentorship to data engineers and developers.
- Collaborate with stakeholders to define metadata, master data management, and data lineage practices.
Technology & Innovation
- Evaluate and recommend modern data management tools, cloud platforms, and emerging technologies.
- Lead initiatives in data modernization, cloud migration, and big data/AI integration.
- Ensure high performance and scalability of enterprise data platforms.
Required Skills
- Experience with Azure Data Services (Azure Fabric, Azure Data Factory, Azure Synapse, Azure Data Lake).
- Knowledge of data security and compliance frameworks.
- Experience supporting AI/ML initiatives through data readiness.
- Prior experience in the retail or healthcare industry is a plus.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or related field.
- Proven experience (10+ years) in data architecture, database design, and data modeling.
- Strong expertise with SQL, NoSQL, ETL tools, and cloud data platforms (Azure, AWS, or GCP).
- Hands-on experience with data integration, APIs, data lakes, and data warehouses.
- Knowledge of data governance, master data management, and metadata management.
- Familiarity with analytics, BI tools (e.g., Power BI, Tableau), and reporting frameworks.
- Strong problem-solving, analytical, and communication skills.
Data Architect
Posted today
Job Viewed
Job Description
Job Opportunity: Senior Data Architect (15+ Years Experience)
We are looking for a seasoned Data Architect to lead and shape enterprise-wide data initiatives. This role requires a strategic leader with deep technical expertise and strong stakeholder management skills.
Key Responsibilities
- Act as the architectural authority for Data Integration, Data Governance, and MDM programs.
- Define and oversee High-Level and Low-Level Solution Designs across business, application, and data domains.
- Lead solution roadmaps covering as-is vs. to-be states, business value realization, and scalability.
- Partner with business stakeholders, project managers, and engineering teams to ensure alignment of IT solutions with business needs.
- Provide leadership and direction to teams while ensuring governance and delivery success.
- Engage in presales activities to support the Data & Analytics Center of Excellence.
Required Qualifications
- 15+ years of experience in Data Engineering & Architecture roles.
- Bachelor's degree in Computer Science, Engineering, or related field.
- Proven expertise in Data Integration, Data Governance, and Master Data Management (MDM).
- Strong knowledge of data modeling, governance, flows, quality, security, privacy, scalability, and performance.
- Excellent stakeholder management and communication skills, with the ability to influence at senior levels.
- Demonstrated leadership experience guiding teams and ensuring delivery of large-scale data programs.
Location: Kochi/ Remote
Please note: We are looking for early joiners.
Interested, Share your resume to
Data Architect
Posted today
Job Viewed
Job Description
Job Opportunity: Senior Data Architect (15+ Years Experience)
We are looking for a seasoned Data Architect to lead and shape enterprise-wide data initiatives. This role requires a strategic leader with deep technical expertise and strong stakeholder management skills.
Key Responsibilities
- Act as the architectural authority for Data Integration, Data Governance, and MDM programs.
- Define and oversee High-Level and Low-Level Solution Designs across business, application, and data domains.
- Lead solution roadmaps covering as-is vs. to-be states, business value realization, and scalability.
- Partner with business stakeholders, project managers, and engineering teams to ensure alignment of IT solutions with business needs.
- Provide leadership and direction to teams while ensuring governance and delivery success.
- Engage in presales activities to support the Data & Analytics Center of Excellence.
Required Qualifications
- 15+ years of experience in Data Engineering & Architecture roles.
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Proven expertise in Data Integration, Data Governance, and Master Data Management (MDM).
- Strong knowledge of data modeling, governance, flows, quality, security, privacy, scalability, and performance.
- Excellent stakeholder management and communication skills, with the ability to influence at senior levels.
- Demonstrated leadership experience guiding teams and ensuring delivery of large-scale data programs.
Location: Kochi/ Remote
Please note: We are looking for early joiners.
Interested, Share your resume to
Data Architect
Posted today
Job Viewed
Job Description
About the Job
We are seeking a highly skilled and strategic Data Architect to design, develop, and manage the organisation’s data architecture. The ideal candidate will ensure that data assets are structured, integrated, and governed to support analytics, reporting, and business intelligence initiatives across the enterprise. This role will work closely with business stakeholders, data engineers, analysts, and IT teams to ensure data is accurate, secure, scalable, and aligned with organisational goals.
Core Responsibilities
Data Strategy & Architecture
- Define and maintain the enterprise data architecture, ensuring alignment with business strategy and technology standards.
- Design data models, databases, and integration patterns that enable high-quality reporting and analytics.
- Establish standards for data storage, retrieval, transformation, and integration across systems.
Data Governance & Quality
- Develop and enforce policies for data governance, security, and compliance (e.g., HIPAA, GDPR, CCPA as applicable).
- Implement data quality frameworks to ensure accuracy, consistency, and completeness of information.
Collaboration & Leadership
- Partner with cross-functional teams (business, engineering, analytics, IT) to understand requirements and translate them into scalable data solutions.
- Provide technical leadership and mentorship to data engineers and developers.
- Collaborate with stakeholders to define metadata, master data management, and data lineage practices.
Technology & Innovation
- Evaluate and recommend modern data management tools, cloud platforms, and emerging technologies.
- Lead initiatives in data modernization, cloud migration, and big data/AI integration.
- Ensure high performance and scalability of enterprise data platforms.
Required Skills
- Experience with Azure Data Services (Azure Fabric, Azure Data Factory, Azure Synapse, Azure Data Lake).
- Knowledge of data security and compliance frameworks.
- Experience supporting AI/ML initiatives through data readiness.
- Prior experience in the retail or healthcare industry is a plus.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
- Proven experience (10+ years) in data architecture, database design, and data modeling.
- Strong expertise with SQL, NoSQL, ETL tools, and cloud data platforms (Azure, AWS, or GCP).
- Hands-on experience with data integration, APIs, data lakes, and data warehouses.
- Knowledge of data governance, master data management, and metadata management.
- Familiarity with analytics, BI tools (e.g., Power BI, Tableau), and reporting frameworks.
- Strong problem-solving, analytical, and communication skills.
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Data Architect
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and optimize scalable data pipelines and workflows using Databricks and Apache Spark on AWS.
- Collaborate with data scientists, analysts, and other stakeholders to transform data into actionable insights.
- Implement data ingestion processes from various sources including S3, RDS, Redshift, and external APIs.
- Optimize Spark jobs for performance and cost efficiency.
- Monitor and troubleshoot data workflows, ensuring data quality and integrity.
- Automate deployment and orchestration of data pipelines using AWS services like Lambda, Step Functions, or Glue.
- Maintain security and governance standards in cloud data environments.
- Document processes, data lineage, and architecture designs.
Data Architect
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and optimize scalable data pipelines and workflows using Databricks and Apache Spark on AWS.
- Collaborate with data scientists, analysts, and other stakeholders to transform data into actionable insights.
- Implement data ingestion processes from various sources including S3, RDS, Redshift, and external APIs.
- Optimize Spark jobs for performance and cost efficiency.
- Monitor and troubleshoot data workflows, ensuring data quality and integrity.
- Automate deployment and orchestration of data pipelines using AWS services like Lambda, Step Functions, or Glue.
- Maintain security and governance standards in cloud data environments.
- Document processes, data lineage, and architecture designs.