Senior Data Engineer - MarTech AdTech

Role overview

AdTech and retail media

• Implement retail media and ad-serving platforms for sponsored products, product listing ads, display, video, and native advertising.
• Integrate with The Trade Desk, DV360, and StackAdapt.
• Support campaign enablement, audience targeting, inventory management, event tracking, and ad decisioning.

Data engineering and measurement

• Develop APIs, data pipelines, ELT/ETL workflows, and event-driven integrations.
• Integrate Salesforce Marketing Cloud, Salesforce Data Cloud, advertising platforms, and retail media platforms.
• Build cloud-native data solutions, reporting pipelines, attribution and measurement pipelines, event ingestion, and campaign-performance reporting.
• Support ROAS reporting, sales lift analysis, new-to-brand metrics, share-of-voice reporting, incrementality testing, and clean-room measurement.

Identity, audience, and platforms

• Implement identity resolution, audience activation and syndication, and first-party data pipelines.
• Work with LiveRamp (RampID), customer identity platforms, and advertising activation systems.
• Build solutions using AWS, Azure, or GCP and develop and support Snowflake, Databricks, BigQuery, dbt, Spark, Airflow, and Kafka/PubSub.

Required technical expertise

• Cloud skills listed include AWS, Azure, GCP, Lambda, BigQuery, Dataflow, Redshift, Cloud Run, and Pub/Sub.
• Data engineering skills listed include Snowflake, Databricks, Apache Spark, dbt, Airflow, and Kafka.
• AdTech skills include ad servers, DSP/SSP integrations, header bidding, programmatic advertising, ad tag management, retail media platforms, Google Ad Manager, Kevel, and Criteo.
• MarTech skills include Salesforce Marketing Cloud, Salesforce Data Cloud (CDP), and audience activation platforms.
• Integration skills include REST APIs, GraphQL, webhooks, and ETL/ELT pipelines.
• Analytics skills include attribution reporting, event tracking, campaign analytics, incrementality testing, and clean-room integrations.

Ideal candidate

• Strong experience in retail media networks, advertising platforms, cloud data engineering, Salesforce Marketing Technologies, Snowflake or Databricks, identity resolution, audience activation, and attribution analytics.
• Able to build scalable advertising and data solutions and support enterprise retail media transformations.

Compensation

• Posted base compensation range is $94,981 to $168,680; the posting does not specify a pay cadence.
• Additional variable incentives, bonuses, or commissions may be available depending on the position and applicable laws.

Benefits

• The posting describes benefits for regular full-time employees, potentially including paid time off, healthcare coverage, retirement savings plans, insurance, and employee assistance programs.