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

 Posted 15 hours ago
  
 India
  
⭐ 10+ years experience
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AI Summary

Design and implement scalable enterprise data architectures, including Data Lakes, Data Fabric, and MDM solutions. Establish data governance, quality, and security standards to enable AI/ML initiatives and optimize platform performance.

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.

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