Staff Software Engineer, Data

PlayOn! Sports

full-time

Posted on: 10/10/2025

Location Type: Hybrid

Location: Alpharetta • 🇺🇸 United States

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Lead

CloudKafkaPythonSQL

About the role

Design and own real‑time and batch pipelines (Confluent Cloud/Kafka, Flink SQL, Snowflake, SQLmesh) with reliability and observability built‑in.
Model domain‑rich schemas for sports/video/ticketing/subscriptions/ads that serve both analytics and ML feature needs.
Implement data quality, contracts, testing, and lineage (dbt tests, Great Expectations, OpenLineage/Marquez or similar).
Drive SLOs, alerting, and remediation playbooks to minimize data downtime and MTTR; lead blameless postmortems.
Scale event ingestion/CDC from sources like GA4/Segment, app stores, payments (Stripe), 3rd‑party sports systems; manage schema evolution.

8–12+ years in data engineering (or equivalent) with ownership of mission‑critical pipelines and data products at scale.
Expert SQL and strong Python; deep knowledge of incremental processing, partitioning, compaction, and schema design.
Hands‑on with real‑time systems (Kafka + Flink or similar) and modern ELT in a warehouse (Snowflake preferred).
Proven reliability practice: contracts, tests, lineage, SLAs/SLOs, and effective incident response.
Experience modeling complex domains and enabling both BI and ML/feature store use cases.
Clear, concise design docs and stakeholder communication; ability to lead cross‑team initiatives.

Benefits