Data Integration Platform Lead & Manager

Chime Enterprise

San Francisco (CA)

On-site

USD 199,000 - 275,000

Full time

3 days ago
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Job summary

Chime seeks a Tech Lead Manager for the Data Integration Platform in San Francisco. You will own the platform and its pipelines, guiding architecture and delivery while remaining hands‑on to unblock the team.

You’ll partner with product, security, and analytics to set data contracts, SLAs, and governance across diverse sources and sinks. Your leadership will shape ingestion patterns, reliability, and AI‑ready data foundations, with a focus on scalable, secure data movement across the

Qualifications

  • 8+ years in high‑scale, high‑reliability software development focusing on platforms, infrastructure or data movement systems.
  • 3+ years of engineering team management, including hiring and performance coaching.
  • Hands‑on coding mindset with ability to write/review production code and guide architecture.
  • Experience with data integration/movement components (CDC pipelines, connectors, event streams) and data lakes/lakehouses.
  • Cloud data ecosystems (AWS/GCP/Azure) and data governance practices.

Responsibilities

  • Own strategy and roadmap for the Data Integration Platform including ingestion pipelines and connectors.
  • Lead architecture reviews and high‑leverage problem solving while coaching engineers.
  • Design scalable integration architecture balancing reliability, cost, and ease of use for analytics and product data flows.
  • Build and operate connectors/pipelines across APIs, event streams, file transfers, and CDC.
  • Define data contracts, schemas, SLAs, and governance across producers, integration layer, and consumers.

Skills

Hands-on coding
Team leadership
Stakeholder collaboration

Tools

Kafka
Flink
Spark
Airflow
Kubernetes
Python
SQL
Snowflake
Iceberg
Debezium
Airbyte‑style frameworks

Job description

Chime seeks a Tech Lead Manager for the Data Integration Platform in San Francisco. You will own the platform and its pipelines, guiding architecture and delivery while remaining hands‑on to unblock the team.

You’ll partner with product, security, and analytics to set data contracts, SLAs, and governance across diverse sources and sinks. Your leadership will shape ingestion patterns, reliability, and AI‑ready data foundations, with a focus on scalable, secure data movement across the

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