Role Summary
The Senior Lead Data Engineer is responsible for designing, building, and operating cloud‑native data platforms on Microsoft Azure. This role supports analytics, AI, and image‑driven use cases and provides technical leadership across data ingestion, transformation, and serving layers.
Key Responsibilities
- Design and implement scalable data pipelines on Azure.
- Build batch and near‑real‑time data processing solutions.
- Work with Data Scientists and AI Engineers to enable ML workloads.
- Develop and optimize data models for analytics and AI consumption.
- Ensure data quality, reliability, and performance.
- Contribute to engineering standards, reviews, and best practices.
- Lead small teams or workstreams and mentor engineers.
Required Skills & Experience
- 6+ years of experience in data engineering.
- 3–4 years of hands‑on experience with Microsoft Azure.
- Strong experience with Azure Data Factory, Azure Databricks, Azure Synapse, ADLS Gen2.
- Solid SQL, PySpark, and data modeling skills.
- Experience delivering production data pipelines.
- Familiarity with CI/CD and DevOps practices.
- Exposure to AI/ML data enablement.
- Familiarity with Microsoft Fabric / Foundry.
- Experience handling semi‑structured or unstructured data.
Top Skills
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.







.png)