Director - Business Intelligence (Data Engineering)

About the role

The Data Experience (DEx) practice builds the data foundations, pipelines and products behind Dentsu's media and marketing effectiveness work across Carat, iProspect and Dentsu X. It is seeking a Director, Data Engineering to lead its offshore (DGS) engineering capability, owning the architecture, quality and delivery of the data platform. This is a senior leadership and hands-on engineering role based in Chennai, working with Databricks and using AI-assisted data development.

Key responsibilities

• Set the standard for how DEx ingests, models and serves media and marketing data on Databricks, using AI-assisted tools such as Databricks Genie, Copilot and Claude Code.
• Lead and mentor a team of DGS engineers while staying close to the code.
• Define architecture and code standards, review work critically and raise the quality bar across the team.
• Communicate across time zones with onshore leads and stakeholders.

Required profile

• 12+ years in data engineering, with several years in a leadership or director-level capacity.
• Demonstrated deep Databricks / lakehouse expertise in production.
• Demonstrated domain knowledge of media and/or marketing data (hard requirement).
• Bachelor's degree in Computer Science, Engineering or a related technical field, or equivalent practical experience.
• Proven experience leading and developing an engineering team, ideally in an offshore / DGS or global delivery model.

Required skills

• Databricks: Spark, Delta Lake, Unity Catalog, Lakeflow / Delta Live Tables, Medallion architecture and performance tuning.
• Expert-level SQL and strong Python for data engineering; building and running pipelines at scale.
• Data modeling, orchestration, data quality and governance.
• Hands-on experience with AI coding tools (Databricks Genie, GitHub Copilot, Claude Code).
• Understanding of media and marketing data: impressions, spend, clicks, conversions, reach, frequency, conversion tracking and attribution.
• Nice to have: streaming ingestion, trafficking/ad ops platforms (CM360, Prisma, DV360, TTD), semantic/metrics layers, CI/CD, testing and DataOps.