Media, Broadcast & Content
Senior Staff Data Engineer (Advertising Technology - AWS experience required)
Mid Level
Atlanta, United States
hybrid
Full time
Job description
About the Role
The Senior Staff Data Engineer is accountable for designing and delivering data pipelines that process billions of ad events daily across a global ecosystem. The role sets technical standards for distributed data engineering, drives the modernisation of legacy workflows into modular cloud-native systems, and ensures mission-critical data is delivered reliably, securely and cost-efficiently for monetisation and decisioning. The position operates within global teams and partners closely with Data Science, product and platform engineering, while mentoring junior engineers.
Key Responsibilities
- Design and maintain ingestion, ETL and activation pipelines supporting real-time and batch processing of multi-billion event datasets.
- Optimise data workflows for latency, reliability and scalability in cloud-native environments.
- Modernise legacy ad-tech systems into open, lakehouse-based architectures (Iceberg, Delta, Hudi) for unified analytics and monetisation.
- Embed observability, data lineage and automation frameworks to reduce technical debt and improve resiliency.
- Partner with Data Science to operationalise ML models for forecasting, optimisation and personalisation.
- Ensure downstream data delivery into ad servers, identity systems and activation platforms is low-latency and privacy-compliant.
- Act as a domain expert in distributed systems, streaming and big data engineering.
- Mentor junior engineers, share best practices and elevate engineering standards across global teams.
Required Experience & Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering or a related field.
- 12+ years of experience designing and operating enterprise-scale data platforms with high-throughput pipelines.
- Hands-on expertise with AWS, GCP or Azure, open table formats (Iceberg, Delta, Hudi) and distributed compute (Spark, Flink, Presto).
- Deep knowledge of Kafka, Kinesis or Pub/Sub for powering low-latency ingestion and activation.
- Skilled in CI/CD, automation, observability and governance frameworks for enterprise-grade data engineering.
- Familiarity with advertising workflows including forecasting, yield optimisation, identity and campaign execution.
- Demonstrated ability to partner with data scientists, product and platform engineering while mentoring junior engineers.
Preferred Skills
- PhD preferred for advanced expertise in distributed systems or statistical optimisation.
Workplace
- Hybrid working arrangement.
Salary
- Actual salaries vary based on job-related factors including geographic location, external market data, internal equity, skill set, experience, training, education and/or performance.
Benefits & Perks
- Health insurance coverage.
- Employee wellness programme.
- Life and disability insurance.
- Retirement savings plan.
- Paid holidays, sick time and vacation.
- Additional rewards may include annual bonuses, short- and long-term incentives and programme-specific awards.
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