Sr. Staff Data Engineer, Data Platform, CNN Digital Products & ServicesTurner Corporation • Atlanta, Georgia, United States
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Sr. Staff Data Engineer, Data Platform, CNN Digital Products & Services
Turner Corporation
- Atlanta, Georgia, United States
- Atlanta, Georgia, United States
Über
Your Role Accountabilities
Set the architectural direction for CNN’s Data Platform — own data modeling, schema design, and platform capabilities that serve Analytics, Data Science, ML, and AI teams
Architect and deliver scalable data pipelines for both real‑time streaming and batch processing, from event collection through transformation to business‑ready datasets
Enable cross‑functional teams by defining data platform APIs, data contracts, and self‑service capabilities that make it easy for engineers and analysts to build on the platform
Drive data quality and governance standards — establish frameworks for data validation, lineage tracking, and quality monitoring across the platform
Influence technical strategy across multiple engineering teams — contribute significantly to planning, prioritize strategic architecture investments, and drive alignment on platform direction
Mentor and provide growth‑centered feedback to engineers up to Staff level through code reviews, design guidance, and architectural pairing
Communicate designs, architectural decisions, and technical tradeoffs clearly to engineers and leaders at all levels — represent the data platform domain with autonomy
Evangelize and oversee implementation of data engineering best practices — your code, documentation, and operational standards are the model others follow
Requirements
10+ years of software engineering experience with deep expertise in data engineering, data platform architecture, and large‑scale data systems
7+ years of experience with cloud technology (AWS, GCP, or Azure), including data‑specific services (e.g., EMR, Glue, S3, Athena, Redshift)
Strong expertise in data processing frameworks (Spark, Flink, or equivalent) and orchestration tools (Airflow, Dagster, or equivalent)
Experience with data modeling, ETL architecture, and designing schemas that serve diverse analytical and ML use cases
Strong programming experience across at least two of Java, Go, Python, and SQL
Previous experience working with Snowflake, Databricks, or other modern enterprise data warehouses
Demonstrated experience leading technical direction and setting engineering standards across multiple teams — not just executing, but defining how teams build
Preferred
Experience working on end‑to‑end analytics pipelines from event collection to producing business‑ready semantics
Deep familiarity with dbt or similar transformation frameworks
Experience with streaming and event‑driven architectures (Kafka, Kinesis, Flink) at scale
Experience building or supporting AI/ML pipelines, feature stores, or model training infrastructure
Familiarity with data governance, data quality frameworks, and data cataloging tools
Experience in media, streaming, digital advertising, or consumer‑facing products at scale
Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
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Sprachkenntnisse
- English
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