Data Lead Engineer

Must-Have Skills

Strong expertise in SQL and Python (or similar programming languages). Deep experience with Azure Data Factory (ADF), Databricks, and Azure Synapse. Advanced knowledge of Data Modeling and Data Warehousing (DWH) concepts Hands-on exposure to Microsoft Fabric ecosystem. Strong understanding of cloud data architecture and enterprise-scale solutions.

Key Responsibilities

Lead and own end-to-end data platform delivery, including design, build, and optimization of scalable data solutions on Azure. (derived from pipeline & engineering responsibilities) Architect and govern data pipelines, data models, and enterprise data platformsusing Azure services. Provide technical leadership to data engineers, reviewing code, enforcing best practices, and ensuring quality delivery. Drive development of APIs, Azure Functions, and Python-based solutions aligned with business needs. Oversee cloud infrastructure management and ensure optimal performance, scalability, and cost efficiency Define and implement data governance, data quality, and security standards. Establish and drive CI/CD, DevOps practices, and agile delivery frameworks across the data platform. Collaborate with business and technical stakeholders, translating requirements into scalable solutions and roadmaps. Mentor team members and build capability within the data engineering team.

Experience

8+ years of experience in data engineering, with 2–4 years in a leadership role Proven ability to lead cross-functional teams and deliver complex data programs.

Preferred Skills

Experience in building enterprise APIs and Azure Function Apps. Exposure to framework-based development (proc frameworks or similar). Experience in stakeholder management, solution architecture, and delivery governance.

Key Traits

Strong ownership mindset with ability to drive outcomes Excellent communication and stakeholder management skills Ability to balance technical depth with delivery leadership