Enterprise Data Architect

Required Qualifications

1. 10+ years of experience in data architecture, data engineering, or analytics, with experience leading complex enterprise solutions.
2. Strong hands-on experience with Microsoft Fabric, including OneLake, Lakehouse or Warehouse, pipelines, Spark, Power BI, and semantic models.
3. Strong knowledge of data modeling, medallion architecture, enterprise integration, metadata, lineage, security, and governance.
4. Experience designing cloud data platforms that serve reporting, analytics, APIs, or modern applications.
5. Working knowledge of how enterprise data supports generative AI and machine learning, including secure access, grounding, and retrieval.
6. Ability to move between strategy and implementation and communicate effectively with engineers, business partners, and senior leaders.

Key Responsibilities

1. Set the architecture and technical direction for our Microsoft Fabric platform.
2. Define practical, reusable patterns for data ingestion, transformation, Lakehouse and Warehouse design, data modeling, semantic models, security, and governance.
3. Ensure trusted data and business logic can be reused across Power BI, React-based applications, APIs, and AI solutions.
4. Build an AI-ready data foundation with the quality, metadata, lineage, context, and controls needed for generative AI and machine learning use cases.
5. Guide the modernization of legacy data platforms into Microsoft Fabric while balancing delivery speed, reliability, performance, and cost.
6. Partner with data, application, security, architecture, and business teams from solution design through production.
7. Mentor engineers, review key designs, and communicate architecture decisions and tradeoffs clearly to technical teams and senior leaders.