Data Architect
On-sitePune, Maharashtra, India
Job Summary
Design and maintain data models, flows, and integration architectures that align with enterprise strategy and enable interoperability across systems. Establish and enforce data governance, quality, and security practices across structured and unstructured assets. Provide architectural leadership for ETL/ELT processes, data warehouses, lakes, and analytics platforms while collaborating with stakeholders to translate business requirements into technical solutions. Partner with engineering teams to ensure platforms support ingestion, advanced analytics, reporting, and AI/ML initiatives. Stay current on emerging Microsoft, SAP, and cloud-native technologies to evaluate and implement data management solutions using Azure, SQL Server, Power BI, and SAP HANA. Support the design and implementation of ETL processes from various sources into organizational data systems.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field
- 12+ years of experience in data architecture, data engineering, data modeling or enterprise architecture roles
- Experience working in manufacturing and/or process manufacturing environments
- Hands-on experience with SAP data ecosystems (e.g., SAP HANA, SAP BW, SAP DataSphere, SAP Data Services, SAP integration with Microsoft platforms)
- Expertise in Microsoft data technologies (e.g., Azure Synapse, Azure Data Factory, MS Fabric, SQL Server, Power BI)
- Experience with data lakehouse architectures and modern data platforms
- Strong knowledge of data modeling (conceptual, logical, physical) and database design
- Strong knowledge of SAP data structures, CDS views, models and use in downstream applications, especially for analytics
- Experience with cloud-based data platforms (Azure and Microsoft Fabric)
- Familiarity with data governance frameworks, metadata management, and master data management (MDM)
- Strong analytical, communication, and stakeholder management skills
- Ability to lead cross-functional teams and influence data strategy at the enterprise level
Desired Qualifications
- Understanding of AI/ML data requirements and enabling infrastructure
- Knowledge of data security, compliance, and privacy regulations (GDPR, HIPAA, etc.)
- TOGAF, DAMA, or similar enterprise architecture or data management certifications
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