Responsible for the full lifecycle of enterprise-scale data integration and analytics platform activation on Microsoft Fabric within a large, complex marketing analytics environment. This role designs, builds, and operationalizes robust data pipelines, transformations, and data models and manages controlled, production‑grade releases to ensure platform stability, scalability, and trusted analytics consumption.
Key Responsibilities
Design, govern, and operationalize Fabric pipelines, PySpark transformations, and Lakehouse‑based Medallion architecture.
Translate business requirements and approved data roadmaps into executable technical designs, sprint backlogs, and production‑grade delivery plans.
Own platform performance, reliability, and scalability through proactive monitoring, Spark performance tuning, and workload optimization.
Act as the technical coordination point across business, governance, IT, and analytics engineering teams to deliver certified, production‑ready analytical datasets.
Oversee release engineering including Dev‑Test‑Prod promotion, production cutovers, rollback strategies, and post‑release stabilization of pipelines and models.
Provide technical leadership through architecture reviews, code governance, reusable framework development, and long‑term scalability planning for the platform.
Required Skills
Minimum 10–15 years in data engineering, analytics delivery, or large‑scale data platform execution roles.
Strong experience with cloud data platforms (Microsoft Fabric), large‑scale ingestion & transformation pipelines, and data warehousing / lakehouse concepts.
Familiarity with data governance, compliance, and data quality frameworks.
Excellent stakeholder coordination across business, IT, governance, and analytics functions.
Hands‑on technical proficiency in data pipeline tools, data modelling, and data product delivery.
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