Technical Delivery Lead
Position Summary
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.