We're looking for a Tech Lead to own a delivery portfolio within a Manufacturing Engineering group that builds the data products a production plant runs on. This is a hands-on leadership role: you'll lead a small, senior, multi-disciplinary team shipping and operating manufacturing data products — real-time batch progression monitoring, process anomaly detection, and yield/throughput analytics — in a validated production environment. You'll apply AI with sound, regulated-context judgment, and you'll carry direct accountability for what ships, when it ships, and how it performs once it's live.

What You'll Do
- 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.
- Unblock the team on hard technical problems — pipeline failures, warehouse performance and cost, data quality, plant systems integration, 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 explicit judgment on where regulated-context limitations apply.
- 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.

What You Bring
- Degree in engineering, computer science, or a related technical discipline, or equivalent demonstrated capability.
- Three or more years leading technical delivery for a software or data team.
- Advanced SQL with strong data modeli

📌 Tech Lead (India)
🏢 Toptal
📍 India