Senior Engineer

About the role

Senior data engineering talent to support the extension of an existing first-party customer ID spine into an identity spine for Retail Media Network (RMN) use cases. This role will work across customer identity, ad network IDs, partner IDs, clean room integrations, exposure logs, audience activation, and measurement use cases.

Responsibilities

• Design and build data pipelines and models connecting first-party customer IDs with ad ecosystem identifiers.
• Support integrations with partner IDs and platforms such as Google, Meta, LiveRamp, UID2, clean rooms, and third-party data providers.
• Build identity linkage layers for audience activation, personalization, direct partner matching, and measurement.
• Ingest and structure exposure logs for campaign measurement, attribution, and incrementality use cases.
• Apply consent, privacy, governance, and data minimization rules across identity workflows.
• Partner with product, data, privacy, engineering, media, and decision science teams.

Requirements

• Experience with customer identity, CDP, MDM, CRM, audience, or identity graph use cases.
• Familiarity with ad tech identifiers, media platform IDs, hashed emails, clean room matching, or partner identity resolution.
• Strong data engineering experience on GCP, especially BigQuery.
• Advanced SQL and data modeling.
• Experience building data assets for activation, measurement, or attribution.
• Ability to operate independently with senior stakeholders.
• Experience with LiveRamp, UID2, Google PAIR, Meta, Google Ads / DV360 / CM360, clean rooms, Snowflake, AWS Clean Rooms, Epsilon, Acxiom, or similar data partnerships.
• Retail media, ecommerce, media measurement, or MTA experience.

Qualifications

• Bachelor of Computer Science or a 4-year college/university degree with a relevant post-graduate qualification from a premier institution.

Benefits

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Pay

$110,000 - $130,000 a year