Principal Member Technical Staff - Data engineer
Core
Design, build, and operate scalable data-processing pipelines that transform digital audience and interaction signals into reliable, analytics-ready datasets for mobile, CTV, desktop, and web use cases.
Role type
Principal individual contributor data engineer
Builds
Production data pipelines, data-lake/lakehouse workflows, and curated datasets for downstream analytics and ML teams
Domain
Digital media, advertising, and e-commerce data engineering on AWS
Required skills
Expert SQL, Python/Scala/Java, Apache Spark, AWS (S3, Glue, Athena, EMR, Kinesis, Firehose, Lambda, Step Functions), real-time event processing, data modeling, schema evolution, data quality monitoring, workflow orchestration
Preferred skills
AI-assisted data exploration and code generation, content metadata enrichment, entity matching, ML-assisted classification, operational cost optimization
Technologies
Apache Spark, AWS (S3, Parquet, Glue, Athena, EMR, Kinesis, Firehose, Lambda, Step Functions), Airflow, Grafana, Datadog
Responsibilities
Lead technical design and delivery of batch and streaming data pipelines; profile and interpret incoming telemetry; implement data-stitching and transformation logic; build reusable frameworks for onboarding new data sources; orchestrate workflows and monitor production health; implement automated data-quality controls; provide technical direction and mentoring to engineers; drive cross-functional projects from problem definition to production delivery
Seniority
Principal, hands-on IC with strategic influence
