Carat, a dentsu company is hiring a Director, Data Engineering

As the Director, Data Engineering on dentsu’s Data and Technology Team at ICUC, you will shape and scale our data infrastructure to support business-critical applications and insights. You will lead by example, mentor engineers, and collaborate across departments to deliver high-impact solutions.

What You'll Do

• Design and maintain scalable, secure data architectures and pipelines.
• Evaluate and integrate new technologies to enhance infrastructure and product capabilities.
• Ensure observability and quick resolution of issues.
• Make architectural decisions aligned with strategic goals.
• Own the operation of systems with high availability requirements.
• Articulate technical details to both technical and non-technical audiences.
• Collaborate with Product and Engineering team members and stakeholders.
• Collaborate on development of applications and services across teams.
• Mentor junior engineers and manage direct reports.
• Lead incident response and technical initiatives.
• Lead individual hiring and talent development.
• Lead activities in sprints and enforce best practices with junior team members.
• Address delivery issues and blockers.
• Ensure predictable delivery and innovation balance on a team.

What We're Looking For

• 10+ years of experience in data platform development, demonstrating successful design, build, rollout and ongoing delivery of business-critical applications and data pipelines.
• 5+ years of experience with Python.
• 5+ years of experience with Snowflake (external/Iceberg Tables, materialized views, data shares and listings, integrations; data clean rooms a plus).
• 5+ years of experience with AWS cloud service management tools (IAM CloudWatch, Secrets Manager, AWS CLI).
• Expertise with modern data storage querying tools such as Lambda, S3, RabbitMQ, Athena, Spark, Hive, or similar.
• Expertise with processing/orchestration tools such as Apache Airflow, Azure Data Factory, Azure Synapse, or SSIS.
• Non-trivial experience with RDBMSs such as Postgres, Microsoft SQL Server, MySQL or Oracle.
• Deep understanding of pragmatic engineering practices like iterative releases, test-driven development, continuous integration, and the use of version control systems (Git/GitHub is our primary system, but experience with others would be helpful too).
• Able to convey technical details using industry standard diagramming formats such as UML or C4 Architecture Diagrams and tools such as Lucid Chart, draw.io, or Visio.
• Experience working with semi-structured data in JSON format.
• Working knowledge of Unix-like systems.
• BS/MS degree in Computer Science/Engineering or equivalent.

Technical Stack

• Python, Snowflake, AWS (IAM CloudWatch, Secrets Manager, AWS CLI, Lambda, S3, Athena), RabbitMQ, Spark, Hive, Apache Airflow, Azure Data Factory, Azure Synapse, SSIS, Postgres, Microsoft SQL Server, MySQL, Oracle, Git/GitHub.

Team & Environment

You will report to the Senior Director, Data Engineering.

Benefits & Compensation

• Medical, vision, and dental insurance.
• Life insurance.
• Short-term and long-term disability insurance.
• 401k.
• Flexible paid time off.
• At least 15 paid holidays per year.
• Paid sick and safe leave.
• Paid parental leave.
• Compensation range: $113,000 - $182,850.

Work Mode

This is a hybrid position. Candidates based in the USA can work remotely, with a preferred location in Maryland.

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex, sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.