Design, build, maintain, and optimize Spark and Scala ETL/ELT pipelines on AWS for terabyte- and petabyte-scale datasets. Work across S3, Snowflake, Kafka, and monitoring systems, resolve production data-quality and performance issues, write automated tests, participate in architecture and code reviews, and support on-call operations. Use generative AI to improve pipeline development, monitoring, and engineering productivity.

Owns a portfolio of Data-as-a-Service products end to end, including vision, roadmap, requirements, agile delivery, pricing, packaging, distribution, privacy compliance, and go-to-market execution. Partners with engineering, data science, legal, marketing, sales, and customer success to deliver data enrichment, identity, and audience products through APIs, clean rooms, marketplaces, integrations, and self-service channels. Uses launch metrics and customer insights to guide investment decisions.

Pure outbound BDR role focused on building pipeline with enterprise accounts via cold calls, email, and LinkedIn; research target accounts, book qualified meetings for AEs, hit quota, and collaborate with Marketing and AEs to refine targeting and messaging.