Senior Data Engineer
About The Position
AdRise, FOX's advertising technology platform, is looking for a Senior Data Engineer to design and own the data infrastructure powering ad delivery, audience analytics, identity resolution, and campaign measurement at scale. You'll work across Databricks, Snowflake, and AWS to build pipelines that are fast, reliable, and built to last — and you'll serve as a technical anchor for the broader data engineering team, raising the bar on architecture, code quality, and operational standards. This is a high-ownership role for an engineer who wants to solve hard data problems, influence platform-level decisions, and directly shape the systems that drive a large-scale streaming ad business.
Requirements
- 7+ years of hands-on data engineering experience, with depth in pipeline architecture, data modeling, and large-scale data systems
- Advanced proficiency in Databricks (Delta Lake, Unity Catalog, Workflows) and Snowflake
- Strong Python skills; Scala a plus
- Solid experience with AWS data services: Kinesis, S3, Glue, Lambda, API Gateway
- Experience with real-time / event-driven architectures (Kafka, Kinesis, or equivalent)
- Working knowledge of Airflow or Astronomer for orchestration
- Familiarity with Datadog or comparable observability tooling for data pipelines
- Demonstrated ability to own systems end-to-end — from design through production operations
- Strong communication skills; able to articulate technical tradeoffs to both engineering and non-engineering stakeholders
Nice To Haves
- Experience in digital advertising, connected TV, or streaming media — ad delivery, identity graphs, audience segmentation, or campaign measurement
- Experience with identity resolution systems (UID2, HEM, or similar)
- CI/CD for data pipelines and infrastructure-as-code (CDK or Terraform)
- Familiarity with dbt or analytics engineering patterns
- Agile/Kanban experience in a data or platform engineering environment
Responsibilities
- Serve as a senior technical voice on the team — driving architecture decisions, establishing engineering standards, and leading design reviews
- Mentor and provide technical guidance to mid-level and junior engineers; participate in code review and raise overall team craft
- Identify and drive improvements to existing systems — performance, reliability, cost, and maintainability
- Architect, build, and own complex ETL/ELT pipelines that ingest, transform, and deliver large-scale ad event, identity, and campaign data
- Design and optimize data models in Databricks (Delta Lake) and Snowflake for performance, cost efficiency, and downstream usability
- Build and operate real-time and event-driven data flows using Kafka, Kinesis, and AWS-native services (Glue, Lambda, S3, API Gateway)
- Implement CDC patterns and streaming ingestion to support low-latency analytics and operational data products
- Build and maintain data quality frameworks, validation layers, and alerting pipelines using Datadog and Airflow/Astronomer
- Champion data governance standards — lineage, cataloging, access controls — within Unity Catalog and across the platform
- Ensure systems are well-documented, observable, and operationally sound
- Partner with data analysts, analytics engineers, and ML/data science teams to translate requirements into durable data products
- Collaborate with platform and infrastructure engineers on shared systems, pipeline dependencies, and cost optimization
- Interface with stakeholders to define data contracts, SLAs, and schema standards
Benefits
- medical/dental/vision
- insurance
- a 401(k) plan
- paid time off
- annual discretionary bonus
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
