4,761 Sap Data Architect jobs in India
SAP Data Architect 15+ Years Pan India
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Capgemini is seeking a Director/Senior Director level executive for SAP Data Architect role for Insights and Data (I&D) Global Business Line.
**Primary Skills**:
- Experience in playing Presales/Competency Leader role with growth mindset for SAP Data Management suite with 15+ Years of experience.
- Proven experience in defining end to end SAP Data strategy.
- Proven expertise in SAP S/4HANA Data Management suite leveraging Data Migration with BODS, LTMC, Syniti and CBS, SAP MDG, Data quality with SAP Information Steward, BODS- DQ SAP EIM (CPI-DS, SDI) and SAP Data Intelligence.
- Strong industry and functional experience across Retail, Manufacturing and Finance domains.
- Ability to shape deals with customer conversations plus lead presales opportunities,
- Strong experience in a client-facing consulting delivery role managing an onsite/offshore delivery model
- Ability to inspire and lead the pack of data management professionals.
**Secondary Skills**:
- Behavioral & Collaboration Skills
- Excellent verbal and written communication skills.
- Should be and good listener, logical and composed in explaining point of views.
- Ability to work in collaborative, cross-functional, and multi-cultural teams
- Excellent leadership skills, with the ability to generate stakeholder buy-in and lead through influence at a senior management level. Should be very good in negotiation skills and ability to handle conflict situations.
SAP Data Management Architect
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Job Title: SAP Data Management Architect
Location: Offshore
Duration: 6 8 Months (Extendable)
Experience: 10+ years
Implementation: Minimum 3 4 end-to-end implementations in S/4HANA & ECC
Job Description :
We are seeking a highly experienced SAP Data Management Architect to lead data strategy, governance, and migration activities across SAP S/4HANA and ECC landscapes. The ideal candidate will have deep expertise in designing data architecture, managing complex migration projects, and ensuring high data quality and governance standards.
Key Responsibilities :
Define and implement data management strategy, architecture, and governance framework for SAP environments.
Lead end-to-end data migration projects for S/4HANA and ECC.
Ensure data quality, integrity, and compliance across master and transactional data.
Architect and oversee solutions for Master Data Management (MDM) including Customer, Vendor, Material, and Finance.
Utilize SAP MDG, SAP Data Services, and related tools for data governance and migration.
Collaborate with stakeholders to drive data harmonization and integration across SAP and non-SAP systems.
Provide leadership, mentoring, and best practices for data management and governance.
Required Skills :
SAP Data Management, SAP MDG, SAP Data Services (BODS), Data Architecture, Data Migration, Data Governance, Data Quality, Data Harmonization, Master Data (Customer, Vendor, Material, Finance), S/4HANA, ECC, 3 4 End-to-End Implementations.
Regards,
Mohammad Khaleel
Sr. SAP IT HR Recruiter
+91 /
India | South Africa | UAE
SAP Data Solution Architect
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• Good Knowledge of SAP Cloud integrations with SAP and Non-SAP systems
• Good understanding of SAP Cloud application development using SAP UI5
• Expertise in SAP Cloud Platform Administration and configuration
1. Identity management
2. Single sign-on provisioning
iii. Creation of roles and authorizations
1. Managing the services on the Platform
2. Application security.
• Expertise in SAP Cloud Portal Service Administration
1. The building, configuring, branding a Site, and its assets.
2. Adding Pages, roles, and widgets
iii. Managing Themes
1. Transporting Content
• Good Knowledge in environment setup and integration between Cloud and on-premise systems
Desired Technical Skillset:-
• SAP Cloud Platform
• SAP Cloud Portal
• SAP UI5, FIORI
• Integrations with SAP and non-SAP environments
• SAP Gateway
• SAP APIM
• SAP Cloud Workflow and Business Rules
• Any other Cloud SAP Services
Data Modeling - BLR
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We are seeking a skilled Data Engineer with expertise in Data Modeling, SQL, Snowflake, Python, AWS, and NoSQL . The ideal candidate will be responsible for designing and implementing scalable data solutions, ensuring efficient data storage, retrieval, and processing. Experience in NoSQL Data Modeling is a plus.
Key Responsibilities:Location: Bangalore
Experience: 6-9 Years
Principal Architect - Data Modeling
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Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 2800+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, the UK, Canada, and Singapore, including a substantial remote global workforce.
We’re Great Place to Work-Certified. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.
**Curious about the role? What your typical day would look like?**
As a Principal Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and an Architect as demanded by each project to define, design, and deliver actionable insights.
On a typical day, you might
- Understand the Business Requirements and translate business requirements into conceptual, logical and physical Data models.
- Suggest best modelling approach to the client based on their requirement and target architecture
- Analyse and understand the Datasets and guide the team in creating Source to Target Mapping and Data Dictionaries, capturing all relevant details
- Profile the Data sets to generate relevant insights
- Define Data Modelling Best Practices and ensure implementation of Best Practices across projects
- Optimize the Data Models and work with the Data Engineers to define the Ingestion logic, ingestion frequency and data consumption patterns
- Work with QE team to define the right testing strategy
- Drives automation in modeling activities
- Collaborate with Business Stakeholders, Data Owners, Business Analysts, Architects to design and develop next generation data platform
- Closely monitor the Project progress and provide regular updates to the leadership teams on the milestones, impediments etc
- Guide /mentor team members, and review artifacts
**Job Requirement**
***
**What do we expect? Skills that we’d love!**
- Minimum 15 years of experience
- Decent experience in one or more RDBMS systems (such as Oracle, DB2, SQL Server)
- Good understanding of Relational, Dimensional, Data Vault Modelling
- Good experience in OLTP and OLAP systems
- Excellent Data Analysis skills
- Good Experience on one or more Cloud DW (e.g. Snowflake, Redshift, Synapse)
- Experience on one or more cloud platforms (e.g. AWS, Azure, GCP)
- Understanding of DevOps processes
- Hands-on experience in one or more Data Modelling Tools
- Good understanding of one or more ETL tool and data ingestion frameworks
- Understanding of Data Quality and Data Governance
- Good understanding of NoSQL Database and modeling techniques
- Good understanding of one or more Business Domains
- Understanding of Big Data ecosystem
- Understanding of Industry Data Models
- Hands-on experience in Python
- Experience in leading the large teams
- Good understanding of agile methodology
- Excellent Communication skills
**You are important to us, let’s stay connected!**-We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
**Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry
SAP Architect - Enterprise Data Management
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We are seeking an experienced SAP Data Architect with a strong background in enterprise data management, SAP S/4HANA architecture, and data integration. This role requires deep expertise in designing and governing data structures, ensuring data consistency, and leading data transformation initiatives across large-scale SAP implementations.
Key Responsibilities:- Lead data architecture design across SAP modules and legacy systems.
- Define and implement data governance, master data management (MDM), and metadata standards.
- Architect data migration strategies for SAP S/4HANA, including ETL, data validation, and reconciliation.
- Develop conceptual, logical, and physical data models aligned with business and technical needs.
- Collaborate with cross-functional teams to ensure SAP and non-SAP system integration.
- Establish and monitor data quality frameworks.
- Conduct impact assessments to ensure scalable and flexible data architecture.
- Support reporting and analytics through frameworks such as SAP BW and SAP HANA.
- 15+ years in enterprise data architecture with at least 8+ years in SAP environments.
- Hands-on experience with SAP S/4HANA data models, SAP Datasphere, SAP HANA Cloud, and SAC.
- Proven experience integrating SAP with AWS Data Lake (S3).
- Strong knowledge of data migration tools such as SAP Data Services, LTMC, LSMW, and BODS.
- Expertise in data governance, master data strategies, and data lifecycle management.
- Familiarity with cloud platforms: AWS, Azure, or GCP.
- Excellent analytical and communication skills to collaborate across business and IT functions.
- SAP Certified Technology Associate – S/4HANA / Datasphere
- TOGAF (Enterprise Architecture Framework)
- ITIL Foundation (for process and service management alignment)
Skills Required
Data Governance
SAP Architect - Enterprise Data Management
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Work Mode: Remote
Contract: 6 months
Position SummaryWe are seeking an experienced SAP Data Architect with a strong background in enterprise data management, SAP S/4HANA architecture, and data integration. The role involves leading data structure design, ensuring consistency, and managing large-scale SAP transformation initiatives.
Key Responsibilities- Lead data architecture design across SAP modules and legacy systems.
- Define and implement data governance strategies, master data management (MDM), and metadata standards.
- Architect data migration strategies for SAP S/4HANA projects, including ETL processes, data validation, and reconciliation.
- Develop conceptual, logical, and physical data models based on business and technical needs.
- Collaborate with functional and technical teams to ensure seamless integration across SAP and non-SAP platforms.
- Establish and maintain data quality frameworks and monitoring tools.
- Conduct impact assessments to ensure scalable, sustainable data architecture.
- Support analytics and reporting by implementing structured data delivery using tools like SAP BW and SAP HANA.
- 15+ years in enterprise data architecture, with 8+ years focused on SAP ecosystems.
- Hands-on experience with SAP S/4HANA data models, SAP Datasphere, SAP HANA Cloud, and SAP Analytics Cloud (SAC).
- Expertise in integrating SAP data with cloud platforms, especially AWS Data Lake (S3).
- Strong experience with SAP data migration tools such as SAP Data Services, LTMC, LSMW, and BODS.
- Proven ability in data governance, master data strategy, and full data lifecycle management.
- Experience with cloud platforms like AWS, Azure, or GCP is a plus.
- Excellent analytical, communication, and stakeholder management skills.
- SAP Certified Technology Associate – SAP S/4HANA or Datasphere
- TOGAF (Enterprise Architecture)
- ITIL Foundation (for aligning IT and business processes)
Skills Required
Sap Bw, Sap Data Services, LTMC, Lsmw, Bods
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SAP Architect - Enterprise Data Management
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Work Mode: Remote
Contract: 6 months
Position SummaryWe are seeking an experienced SAP Data Architect with a strong background in enterprise data management, SAP S/4HANA architecture, and data integration. The role involves leading data structure design, ensuring consistency, and managing large-scale SAP transformation initiatives.
Key Responsibilities- Lead data architecture design across SAP modules and legacy systems.
- Define and implement data governance strategies, master data management (MDM), and metadata standards.
- Architect data migration strategies for SAP S/4HANA projects, including ETL processes, data validation, and reconciliation.
- Develop conceptual, logical, and physical data models based on business and technical needs.
- Collaborate with functional and technical teams to ensure seamless integration across SAP and non-SAP platforms.
- Establish and maintain data quality frameworks and monitoring tools.
- Conduct impact assessments to ensure scalable, sustainable data architecture.
- Support analytics and reporting by implementing structured data delivery using tools like SAP BW and SAP HANA.
- 15+ years in enterprise data architecture, with 8+ years focused on SAP ecosystems.
- Hands-on experience with SAP S/4HANA data models, SAP Datasphere, SAP HANA Cloud, and SAP Analytics Cloud (SAC).
- Expertise in integrating SAP data with cloud platforms, especially AWS Data Lake (S3).
- Strong experience with SAP data migration tools such as SAP Data Services, LTMC, LSMW, and BODS.
- Proven ability in data governance, master data strategy, and full data lifecycle management.
- Experience with cloud platforms like AWS, Azure, or GCP is a plus.
- Excellent analytical, communication, and stakeholder management skills.
- SAP Certified Technology Associate – SAP S/4HANA or Datasphere
- TOGAF (Enterprise Architecture)
- ITIL Foundation (for aligning IT and business processes)
Skills Required
Sap Bw, Sap Data Services, LTMC, Lsmw, Bods
Data/modeling Scientist Ii
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Key Accountabilities:
- Lead, collaborate, or support global modeling/simulation projects with team members in NA, EMEA, and APAC.
- Adopt and utilize Donaldson processes to drive project execution on time, on budget and meeting/exceeding expectations.
- Champion as Subject Matter Expert in identified modeling technology area, including structural analysis (FEM), material characterization, anmulti-physics simulation.
- Respond to enterprise-wide modeling and simulation needs and offer consulting service, perform analysis during the different phases of the projects and support global product development engineering with design optimizations and sensitivity analysis.
- Drive improvements in associated modeling techniques to increase simulation accuracy and engineering know-how.
- Being innovative to come up with creative ideas and concepts in expansion of modeling & simulation role in different business verticals of Donaldson.
- Work independently and take logical and orderly approach to analyze the modeling & simulation issues/concerns, defining actions and executing the same to deliver results.
Education Qualification:
- Master’s or PhD Degree in Engineering, Mathematics, Physics, Materials and related fields.
Technical Competence & Skills:
- Knowledge in fundamentals of Solid mechanics is essential.
- Hands-on experience on any commercial simulation tool (ANSYS, COMSOL, other structural CAE tools)
- Ability to write simple code/macros (Python, Java, Matlab etc.) to customize & automate the tool.
- Ability to write high quality simulation report containing problem analysis along with countermeasure suggestions.
Leadership Competence:
- Collaboration skills
- drives collaborations with global teams & stakeholders while working on projects; and develops trusted long-term professional relationships.
- Strong communication skills
- ability to lead the technical discussions, both verbal and written, with global counterparts and leadership teams.
- Problem Solving skills
- ability to set Ideal & current situations, perform root cause analysis, identify effective countermeasure ideas along with action plan to achieve milestones.
- Learning Agility
- Self-motivated
- proactive in identifying the risks in projects and taking lead in solving the same quickly.
Relevant Experience:
- 2-6 years of relevant work experience primarily focused on performing virtual engineering & validation activities to add value in product design, evaluation of new concepts & technologies.
- Proven work experience on developing new simulation processes, correlation& validation, documentation and best practices and standardization activities
- Knowledge on Structural analysis through FEA techniques is desired.
- Knowledge of CFD/multi-phase/multi physics modeling & simulation is added advantage.
Others (% of travel, language, etc.):
- 10% travel
- Proficient in English (both written and verbal) with global team members.
- Able to work flexible hours.
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