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.