Senior Data Architect

Primary Responsibilities :

• Data Strategy & Governance : Define the end-to-end enterprise data architecture strategy (including data ingestion, storage, processing, and consumption) to support all Digital Products (AI, Analytics, IoT).
• Blueprint & Modeling : Create and govern enterprise data models, data lake / mesh blueprints, and data governance frameworks (e.g., data quality, lineage, access control).
• Platform Selection : Lead the selection, design, and optimization of Cloud-based data platforms (e.g., Snowflake, Databricks, specific Hyperscaler services) to maximize performance and cost-efficiency.
• Security & Compliance : Ensure all data architectures meet strict industry-specific security, regulatory, and privacy requirements.

Primary Skills :

Secondary Skills :

Domain Skills- Deep domain expertise in at least one of the following : Automotive / Industrial Products / Plant Engineering Understanding of industry-specific digital use cases (e.g., connected vehicles, predictive maintenance, digital manufacturing).