Title : Data Engineer / Architect for RMN Identity Spine
Location : Remote OR Minnesota City, Minnesota (MN)
Job ID: 426996
6+ years Data Engineering/Architecture experience. Strong GCP/BigQuery and SQL skills required. Customer Identity/Customer 360, Identity Resolution, Retail Media or AdTech experience preferred. LiveRamp, UID2, Google PAIR, DV360, CM360, Meta, and Clean Rooms experience is a plus.
Job Description AND Must Have Technical/Functional Skills
Data Engineer / Architect for RMN Identity Spine
Must Have Technical/Functional Skills
Data engineering talent to support the extension of its existing first-party customer ID spine into an identity spine for Retail Media Network 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.
Roles & 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 BBY product, data, privacy, engineering, media and decision science teams.
• 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.
Generic Managerial Skills, If any
• 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.
Education
B.Tech or 4-year college / university degree with a relevant post-graduate qualification from premier institution