Tech Lead, AI-Driven Manufacturing Data Platforms

United States Digital Space LLC; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

United States Digital Space LLC seeks a Tech Lead to own delivery of manufacturing data products from concept through validated production use. You will lead a senior, multi-disciplinary team and solve complex pipeline and data quality issues in a regulated context.

The role requires strong SQL/Python skills, extensive AWS knowledge, and experience with Snowflake. You will collaborate with data science, product owners, and architects to ensure scalable, compliant production systems.

Qualifications

• Three or more years leading technical delivery for a software or data team.
• Advanced SQL with strong data modeling judgment and performance and cost awareness.
• Strong Python for production data engineering and services.
• Hands-on AWS experience across compute, storage, orchestration, identity, and observability.
• Deep experience with a cloud data warehouse; Snowflake preferred.
• Fluency with Git-based workflows, CI/CD, infrastructure as code, and release management.
• Working understanding of the machine learning lifecycle, including model evaluation, deployment, and monitoring.
• Strong stakeholder communication skills and the judgment to challenge requests with better technical paths.
• Good understanding of agentic AI.

Responsibilities

• Own delivery of a portfolio of manufacturing data products from concept through validated production use.
• Lead a small, senior, multi-disciplinary team of data engineers, warehouse engineers, and full-stack developers.
• Solve technical issues that stall the team, including pipeline failures, warehouse performance and cost, data quality, integration with plant systems, and production incidents.
• Supervise progression from DEV to QA to PROD, ensuring validation, change control, traceability, and documentation are properly met.
• Partner with data science to frame solvable problems, provide well-understood data and environments, and assess whether models are fit for intended production use.
• Evaluate and introduce AI-assisted approaches to development, testing, documentation, and monitoring, with clear judgment on regulated-context limitations.
• Work closely with Product Owners and Product Architects to shape scope and sequencing, and communicate progress, risk, and trade-offs clearly.
• Produce architecture documentation, decision records, and operational runbooks that support long‑term delivery and operations.

Skills

SQL

Python

AWS

Data modeling

Education

Bachelor's degree in a related field

Tools

Snowflake

AWS

Terraform

CI/CD pipelines

Job description

United States Digital Space LLC seeks a Tech Lead to own delivery of manufacturing data products from concept through validated production use. You will lead a senior, multi-disciplinary team and solve complex pipeline and data quality issues in a regulated context.

The role requires strong SQL/Python skills, extensive AWS knowledge, and experience with Snowflake. You will collaborate with data science, product owners, and architects to ensure scalable, compliant production systems.