Role Overview

We are looking for a hands-on Lead Data Product Engineer to provide technical direction, lead engineering delivery, and manage business stakeholders. The role combines data architecture, hands-on engineering, stakeholder engagement, and governance. This is a technical leadership role, not a people-management position.

Key Responsibilities

- Lead end-to-end data engineering delivery in line with AstraZeneca technical standards.

- Design, develop, review, and optimise data pipelines and data products using

Apache Airflow, AWS, Databricks, and Snowflake

.

- Own and enhance the existing

Medallion Architecture (Bronze, Silver, Gold)

.

- Manage Airflow workflows, scheduling, dependencies, data refreshes, and pipeline operations.

- Review data models, facts, dimensions, data grain, business rules, and KPI definitions.

- Ensure data lineage, quality, governance, and downstream reporting readiness in Power BI.

- Investigate data discrepancies, pipeline failures,



and performance issues; coordinate RCA and resolution.

- Act as the primary stakeholder contact, translating technical issues into business impacts, risks, and recommendations.

- Oversee technical documentation, runbooks, monitoring, support models, and BAU transition readiness.

Mandatory Skills

- Apache Airflow, AWS, Databricks, Snowflake, and Bitbucket

- Hands-on data engineering and technical leadership.

- Medallion Architecture (Bronze/Silver/Gold).

- Data modelling, ETL/ELT, data pipelines, and partitioning strategies.

- Data lineage, data quality, governance, and RCA.

- Power BI reporting and semantic models.

- Solid stakeholder management and communication skills.

- Ability to lead delivery and influence technical decisions without direct line management.

📌 Lead Data Product Engineer - Chennai
🏢 9NEXUS
📍 Chennai