Data Ingestion Architect — Lead High-Volume Systems

RevolutionParts

Tempe (AZ)

On-site

USD 180,000 - 260,000

Full time

3 days ago
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Job summary

RevolutionParts in Tempe, AZ seeks a Senior Data Engineer / Staff-level architect to own the data ingestion platform and drive the strategy for scalable, reliable data pipelines. You will define the destination, migration sequence, and tradeoffs to retire the legacy system as the organization moves forward.

You will shape standards for schema design, data contracts, and observability while collaborating with Product, BI, Platform Engineering, and Executive Leadership.

Qualifications

  • Ten-plus years in data or software engineering with architecture ownership of high-volume production systems.
  • Experience designing and operating distributed job execution systems.
  • Deep experience with production message queues and failure handling.
  • Experience building observability into systems and ensuring data quality.

Responsibilities

  • Own data ingestion architecture and 2-3 year vision.
  • Set standards for schema design, data contracts, and observability.
  • Lead cross-functional alignment with Product, BI, Platform Engineering, and Exec Leadership.
  • Make final technical debt decisions for ingestion domain.
  • Mentor Senior Engineers on distributed systems and data modeling at scale.

Skills

Architectural leadership
Distributed systems design
Data ingestion & pipelines
Observability & reliability
Mentorship & coaching

Education

BS/MS in Computer Science or related field

Tools

AWS
Kubernetes
Kafka
Kinesis
Snowflake
BigQuery
Databricks
Flink
Redpanda
EKS

Job description

RevolutionParts in Tempe, AZ seeks a Senior Data Engineer / Staff-level architect to own the data ingestion platform and drive the strategy for scalable, reliable data pipelines. You will define the destination, migration sequence, and tradeoffs to retire the legacy system as the organization moves forward.

You will shape standards for schema design, data contracts, and observability while collaborating with Product, BI, Platform Engineering, and Executive Leadership.

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