The Data Experience (DEx) practice builds the data foundations, pipelines, and products that power Dentsu's media and marketing effectiveness work across Carat, iProspect, and Dentsu X. We are seeking a Director, Data Engineering to lead our offshore (DGS) engineering capability — owning the architecture, quality, and delivery of the data platform that everything downstream depends on.
This is a senior leadership and hands-on engineering role. You will set the standard for how DEx ingests, models, and serves media and marketing data on Databricks, and you will do it as a modern practitioner — using AI-assisted data development (Databricks Genie, Copilot, Claude Code) to move faster and raise quality. You will lead and mentor a team of DGS engineers while staying close enough to the code to set the bar yourself. This role demands deep Databricks expertise and a genuine understanding of what media data means, not just how to move it.

Job Description:
Core Skills & Requirements
Databricks & Data Engineering
- Deep, hands-on Databricks expertise: Spark, Delta Lake, Unity Catalog,



Lakeflow / Delta Live Tables, Medallion architecture, and performance tuning.
- Expert-level SQL and strong Python for data engineering; production experience building and operating pipelines at scale.
- Solid grasp of data modeling, orchestration, data quality, and governance — building for reuse and maintainability, not one-off delivery.
- Experience with the surrounding ecosystem (Azure, lightweight ETL / data-prep tooling such as Trifacta or dbt) is a robust plus.
AI-Assisted Data Development
- Hands-on experience developing data solutions with AI tooling — Databricks Genie, GitHub / Databricks Copilot, Claude Code, or comparable AI coding agents.
- Able to use AI assistants to accelerate pipeline build, transformation logic, and debugging while maintaining correctness, governance, and quality.
- A builder's mindset: comfortable pairing with AI tools as a force multiplier for the team, not

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