Design and implement enterprise data architectures spanning data lakes, warehouses, data fabric, and MDM. Build scalable pipelines and integration frameworks, establish governance and data quality standards, enable AI/ML initiatives, develop data strategies, and optimize platforms for performance, scalability, and reliability. Collaborate with business and technology stakeholders across the organization.
We are seeking a Senior Data Architect 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:
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.
- 15+ 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.
- Experience with Databricks, Snowflake, Microsoft Fabric, Informatica MDM, Collibra, or similar platforms.
- Background in AI, Generative AI, and enterprise data modernization initiatives.
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