ICUC, part of Dentsu Creative, is hiring a Director, Data Engineering to provide technical guidance and improvements in data analytics and governance. You will oversee data engineering activities, build data collection systems and processing pipelines, and lead a team to deliver high-impact, scalable data 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)
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
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

Nice to Have

Experience with Snowflake data clean rooms

Technical Stack

Python, Snowflake, AWS, Lambda, S3, RabbitMQ, Athena, Spark, Hive, Apache Airflow, Azure Data Factory, Azure Synapse, SSIS, Postgres, Microsoft SQL Server, MySQL, Oracle, Git/GitHub

Team & Environment

This role is part of dentsu's Data and Technology Team, reporting to a 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, open to candidates based remotely in Maryland, USA.

Dentsu is committed to providing equal employment opportunities to all applicants and employees 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.