Senior Data Engineer

OVERVIEW OF THE COMPANY Fox CorporationUnder the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking. JOB DESCRIPTION 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. A SNAPSHOT OF YOUR RESPONSIBILITIES Technical Leadership 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 Pipeline & Platform Engineering 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 Data Quality, Governance & Observability 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 Cross-Functional Collaboration 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 WHAT YOU WILL NEED Bachelor’s degree, or foreign equivalent, in Computer Science, Data Engineering, Electrical Engineering, Computer Engineering, Communication Engineering, Electronic Engineering, Information Systems, or a closely related technical field. Alternatively, a master’s degree, or foreign equivalent, in Computer Science, Data Engineering, Electrical Engineering, Computer Engineering, Communication Engineering, Electronic Engineering, Information Systems, or a closely related technical field. 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 HAVE, BUT NOT A DEALBREAKER 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 WHY JOIN ADRISE Own meaningful infrastructure in a high-scale, real-time ad tech environment powering FOX's connected TV business Work with a modern, cloud-native stack — Databricks, Delta Lake, Kafka, Kinesis, AWS — with real investment behind it Collaborate with a team that values engineering rigor, documentation, and building systems that last Be part of a platform that sits at the intersection of identity, audience, and programmatic advertising — a genuinely interesting problem space #Ll-Hybrid #Ll-JT1 Learn more about Fox Tech at #foxtech We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law. Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $143,000.00-170,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement. View more detail about FOX Benefits. #J-18808-Ljbffr