Senior Data Architect, Data Engineer – AI & Data Platforms

• Design and implement enterprise data architectures including Data Lakes, Data Warehouses, Data Fabric, and MDM solutions.

• Build scalable data pipelines and data integration frameworks.

• Define data governance, quality, lineage, and security standards.

• Enable AI/ML initiatives through robust data engineering and architecture practices.

• Collaborate with business and technology teams to develop data strategies and roadmaps.

• Optimize data platforms for performance, scalability, and reliability.

Requirements

• 10+ years of experience in Data Architecture and Data Engineering.

• Strong expertise in Master Data Management (MDM), Data Fabric, Data Lakes, and Enterprise Data Platforms.

• Experience with cloud platforms (AWS, Azure, or GCP).

• Hands‑on experience with ETL/ELT, data integration, and modern data pipelines.

• Knowledge of AI/ML data requirements and analytics platforms.

• Experience with data governance, metadata management, and data quality frameworks.

• Strong communication and stakeholder management skills.

• Preferred: Experience with Databricks, Snowflake, Microsoft Fabric, Informatica MDM, Collibra, or similar platforms.

• Background in AI, Generative AI, and enterprise data modernization initiatives.