Tech Lead - Data Platform & Inference Engineering

Catalyst Labs; Seattle (WA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

A technology company based in Seattle, WA is seeking a Tech Lead, Data & Inference Engineer to design and scale an end-to-end data platform. This role requires 6 to 12 years of experience in production data systems, expertise in SQL and Python, and strong mentorship abilities. Key responsibilities include guiding pipeline architecture, ensuring data quality, and promoting best practices. The position offers full-time employment in a hybrid environment.

Qualifications

• 6 to 12 years of experience building and scaling production-grade data systems.
• Deep expertise in data architecture, modeling, and pipeline design.
• Strong ownership and accountability in hybrid environments.
• Skilled in automation and identifying bottlenecks.

Responsibilities

• Lead the design and development of a data platform.
• Mentor engineers and promote data-driven best practices.
• Guide architectural decisions across the data pipeline.
• Ensure data consistency and quality across systems.

Skills

Data architecture

Pipeline design

SQL

Python

Distributed data technologies

Orchestration tools

Data modeling

Mentorship

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Spark

Flink

Kafka

Airflow

Dagster

Prefect

Kubernetes

AWS

GCP

Azure

Job description

A technology company based in Seattle, WA is seeking a Tech Lead, Data & Inference Engineer to design and scale an end-to-end data platform. This role requires 6 to 12 years of experience in production data systems, expertise in SQL and Python, and strong mentorship abilities. Key responsibilities include guiding pipeline architecture, ensuring data quality, and promoting best practices. The position offers full-time employment in a hybrid environment.