Senior Data Architect / Data Engineer (AI & Data Platforms) - Immediate joiners
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.
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.