Senior Data Engineer

About the role

This role is for a senior analytics engineer who will design and build data solutions to connect media, site, and marketing performance data into actionable insights. You will work closely with analytics, strategy, media, and client teams to architect scalable data solutions that answer business questions and support marketing decision-making.

Responsibilities

• Design data solutions that solve client business needs
• Partner with analytics and media teams to understand business objectives and translate them into scalable data solutions
• Design data models that integrate media, site, sales, and media conversion data to provide a complete view of marketing performance
• Recommend and implement measurement approaches that support both agency and client objectives
• Lead media data engineering initiatives
• Build and maintain integrations across major advertising, analytics, and marketing technology platforms
• Develop scalable frameworks for campaign performance measurement, attribution, audience analysis, and optimization
• Evaluate emerging platforms, APIs, and data sources to improve agency capabilities and client outcomes
• Build and maintain data pipelines
• Automate reporting pipelines with speed, accuracy, and scalability in mind
• Write and optimize SQL views, Python/R scripts, and API connectors as needed
• Continually optimize data cleaning and anomaly detection processes
• Help manage and advance our GCP infrastructure, particularly with BigQuery and GCP integrations
• Own data quality and governance
• Solve problems relentlessly
• Communicate effectively with less technical stakeholders to address challenges and keep them updated on progress

Requirements

• A bachelor’s degree preferred or equivalent work experience in related fields such as computer science, data science, mathematics/statistics, marketing analytics, etc.
• 6+ years of experience in data engineering, marketing analytics, media analytics, or related disciplines
• Agency experience strongly preferred
• Expert-level SQL and Python skills with experience developing scalable production-grade data pipelines
• Deep experience working with digital media data, including campaign delivery, audience, conversion, and attribution datasets
• Proven experience designing and implementing data solutions that support media planning, optimization, measurement, and reporting
• Strong understanding of digital marketing ecosystems, including platforms such as Google Ads, CM360, DV360, The Trade Desk, Meta, LinkedIn, Adobe Analytics, and Google Analytics
• Experience integrating multiple data sources, including media, site analytics, offline conversion, and first-party customer data
• Deep experience with BigQuery, GCP, or similar cloud-based data warehouse environments
• Experience evaluating client business requirements and translating them into scalable technical solutions
• Experience building data products, automated reporting frameworks, and measurement solutions for internal and external stakeholders
• Experience with dashboarding and visualization tools such as Tableau, Looker, Power BI, or similar

Skills and Experience

• Understands both the technical and business implications of data solutions
• Recommends approaches rather than simply execute requirements
• Buys credibility with clients and internal stakeholders through expertise and thoughtful problem solving
• Builds credibility with clients and internal stakeholders through expertise and thoughtful problem solving
• Builds credibility with clients and internal stakeholders through expertise and thoughtful problem solving
• Builds credibility with clients and internal stakeholders through expertise and thoughtful problem solving
• Builds credibility with clients and internal stakeholders through expertise and thoughtful problem solving
• Builds credibility with clients and internal stakeholders through expertise and thoughtful problem solving
• Builds credibility with clients and internal stakeholders through expertise and thoughtful problem solving
• Builds credibility with clients and internal stakeholders through expertise and thoughtful problem solving
• Builds credibility with clients and internal stakeholders through expertise and thoughtful problem solving
• Builds credibility with clients and internal stakeholders through expertise and thoughtful problem solving

Benefits

The salary range for this position is $105,000 - $135,000 annually. Where an employee or prospective employee is paid within this range will depend on a variety of factors, including but not limited to budget, relevant experience, qualifications, and tenure in similar roles.

Pay

$105,000.00 - $135,000.00 annually

Schedule

Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.