Director Business Intelligence

The Data Experience (DEx) practice builds the data foundations pipelines and products that power Dentsus 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:

• 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 strong plus.

• 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 builders mindset: comfortable pairing with AI tools as a force multiplier for the team not a novelty.

You must understand not just how to engineer the data but what the data means.

• Strong command of media and marketing data: what impressions spend clicks and conversions represent and how they relate.
• Understanding of how reach and frequency work served vs. viewable impressions de-duplicated reach and frequency capping and the implications for how data must be modeled.
• Familiarity with conversion tracking and attribution mechanics pixels tags post-click vs. post-view and lookback windows.
• Knowledge of how media data connects across campaigns placements creatives and channels and how spend flows through to outcomes.
• Practical experience with media taxonomies and naming conventions as the foundation of trustworthy joinable data.

• Proven experience leading and developing an engineering team ideally in an offshore / DGS or global delivery model.
• Ability to set architecture and code standards review work critically and raise the quality bar across a team.
• Strong communication across time zones with onshore leads and stakeholders.

• Experience with streaming / near-real-time ingestion patterns.
• Familiarity with trafficking / ad ops platforms (CM360 Prisma DV360 TTD) and how their data lands in the platform.
• Exposure to semantic / metrics layers and how engineering choices affect downstream reporting (Power BI dbt metrics).
• Experience in an agency ad tech or marketing analytics environment.
• CI/CD testing and DataOps practices for data pipelines.

• 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).
• Bachelors degree in Computer Science Engineering or a related technical field or equivalent practical experience.

Location:

DGS India - Chennai - Anna Nagar Tyche Towers

Brand:

Paragon

Time Type:

Full time

Contract Type:

Permanent