Tech Lead - Data Platform & Inference Engineering

Catalyst Labs; Greenwich (CT); Hybrid; USD 120,000 - 160,000; Full time

Job summary

A leading tech firm in Connecticut is seeking a Tech Lead, Data & Inference Engineer to design and scale a data platform. You will lead data ingestion, optimize performance, and mentor engineers to ensure a strong data-driven culture. Required qualifications include a degree in a relevant field and extensive experience with distributed data systems and SQL. This full-time position offers opportunities for growth in a dynamic work environment, ideally suited for those who thrive on collaboration and innovation.

Qualifications

• 6 to 12 years of experience in building and scaling production-grade data systems.
• Deep expertise in data architecture, modeling, and pipeline design.
• Hands-on experience with dbt, CI/CD, and observability.

Responsibilities

• Lead the design and development of a data platform.
• Build and maintain batch and streaming pipelines.
• Mentor engineers and promote best practices.

Skills

Expert SQL

Python

Distributed data technologies (Spark, Flink, Kafka)

Modern orchestration tools (Airflow, Dagster, Prefect)

Communication skills

Mentoring

Education

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics

Tools

Kubernetes

AWS

GCP

Azure

dbt

DuckDB

Job description

A leading tech firm in Connecticut is seeking a Tech Lead, Data & Inference Engineer to design and scale a data platform. You will lead data ingestion, optimize performance, and mentor engineers to ensure a strong data-driven culture. Required qualifications include a degree in a relevant field and extensive experience with distributed data systems and SQL. This full-time position offers opportunities for growth in a dynamic work environment, ideally suited for those who thrive on collaboration and innovation.