We are seeking a Senior Data Architect / Data Engineer with strong expertise in Master Data Management (MDM), Data Fabric, Data Lakes, Data Warehousing, and AI-driven data solutions. The ideal candidate will design and implement scalable enterprise data architectures, ensuring high-quality, governed, and accessible data across the organization.

Key Responsibilities:

• 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.

Required Skills:

• 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.