Senior Data Architect, Data Engineer – AI & Data Platforms
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Job Description
Senior Data Architect / Data Engineer designing scalable enterprise data solutions leveraging MDM and AI. Collaborating with teams to implement data strategies across the organization.
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.
Requirements:
- 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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