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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