A Lead Data Architect / Senior Data Engineering Lead who owns the overall data platform strategy, guides engineering teams, and builds high-performing, cost-efficient data infrastructure to power advanced analytics and reporting.
Core Responsibilities
Drive Platform Architecture: Design and scale the enterprise data platform across Databricks and Microsoft Fabric.
Lead Engineering & Pipelines: Oversee the build of fast, reliable data pipelines and dimensional models.
Lead & Mentor Teams: Guide and upskill data engineers and data modelers in technical best practices.
Bridge Business & Tech: Work with leadership and analysts to turn business goals into actionable data roadmaps.
Governance & Quality: Establish clear standards for data quality, testing, lineage, and documentation.
Optimization & DevOps: Streamline workflows for high performance and low cost using DevOps/CI/CD and FinOps practices.
Key Technical Skills
Platforms: Databricks (Delta Lake, Unity Catalog) & Microsoft Fabric (Lakehouse, OneLake, Data Factory).
Engineering & SQL: Advanced Spark/PySpark, batch/streaming/CDC pipelines, and expert-level SQL query tuning.
Data Modeling: Dimensional modeling (star/snowflake), Data Vault, and metadata-driven frameworks.
Operations: CI/CD automation, DevOps principles, and cost optimization (FinOps).
System Integration: Connecting disparate sources like POS, ERP, cloud systems, and APIs into seamless data flows.
Domain Expertise: Experience with Retail and POS data (or an ability to pick it up quickly).
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