Chime
Tech Lead Manager, Data Integration Platform
$199K–$275K
San Francisco, CA, USA +1 · Manager · Full-time · Posted Oct 1, 2026
- Location
- San Francisco, CA, USA
San Francisco, California, United States - Experience
- 8+ years in high-scale, high-reliability software development and 3+ years managing engineering teams.
About the job
Leads the team building and operating secure, reliable data integration infrastructure that moves first- and third-party data into and out of Chime, while setting platform strategy and remaining hands-on technically.
What you'll do
- Own the platform strategy and roadmap, and guide architecture and production contributions for integration pipelines, connectors, and data movement.
- Manage, coach, and grow engineers; own delivery, operational health, and practices such as on-call, incident management, and SLOs.
- Partner across teams to define integration patterns, data contracts, schemas, SLAs, and governance for secure data exchange.
What they ask for
- 8+ years of experience in high-scale, high-reliability software development focused on platforms, infrastructure, and data integration or data movement systems.
- 3+ years of experience managing engineering teams, including hiring, performance management, and developing engineers.
- Hands-on production coding ability; Python or a comparable language, plus fluency in SQL and analytical workload performance tuning.
- Experience with scalable data integration and movement systems, data architecture, cloud-based data ecosystems, and data governance, security, and compliance.
Nice to have
- Python is preferred.
- Experience with technologies such as Kafka, Flink, Spark, Airflow, Kubernetes, Debezium, Fivetran/Airbyte-style frameworks, Iceberg, or Snowflake.
Pay
$199,000 — $275,000 USD base salary
Tools
Python, Java, Scala, SQL, Kafka, Flink, Spark, Airflow
AI focus
Build AI-ready data foundations, including metadata, lineage, semantic layers, and reliable data pipelines that support AI-driven product experiences.
Model-written summary · the original posting is authoritative