Data Platform Tech Lead; Architect

Overview

Data Platform Tech Lead (Architect) – Palo Alto, CA | Engineering | Hybrid | Full-time

Instrumental technology is used by the world’s most admired AI and electronics brands like Nvidia, Cisco, and Meta to significantly reduce the 20 cents of waste in every dollar spent in manufacturing. We aim to cut that waste in half, and we’re building a fundamentally new product and technology to do so.

Our solution consists of the SaaS cloud platform where data, processing and analytics, ML training reside; and the edge that are stations installed on the factory floor. The stations capture images as the units move along the assembly line, apply computer vision algorithms and AI models (trained on the cloud) inference to inspect the units automatically and identify problems in real time.

The data platform tech lead / architect is responsible for building a cloud native, highly performing, scalable and reliable data platform to ingest manufacturing data, support AI/ML and analytics.

• Has played a lead role building a modern data platform on a public cloud infrastructure and have it deployed commercially at scale.
• Is technically strong. Well versed in distributed systems, queuing, data pipelines, modern big-data technologies, and hands on with languages like Go, Java, or Scala.
• Can drive platform evolution to support AI/ML and company-wide analytics.
• Is intelligent and knowledgeable, collaborates well, understands the business side of requirements. Able to articulate engineering decisions and trade offs to both technical and non-technical audiences.

• 5+ years of experience in building large scale distributed cloud data platforms.
• BS/MS/PhD degree in Computer Science or related majors.
• Strong proficiency in at least one of the following programming languages:
  Go (preferred), Java, Rust, or Scala.
• Deep understanding of message queuing, batch and stream processing.
• Extensive experience in data modeling, data lake, and various database technologies (Postgres, Mongo
  
  DB, Iceberg, Click House) + indexing/caching (Elastic Search, Redis).
• Cloud-native architecture expertise (AWS preferred).
• Experience leading architectural efforts for performance-sensitive systems (latency-critical services, multi-tenancy, large-scale indexing pipelines).
• Track record of driving projects from conception to completion by collaborating with cross-functional stakeholders, mentoring and leading engineering teams.
• Fast learner. Eager to absorb new emerging technologies.
• High energy. Can thrive in a fast-paced environment with a can-do attitude.

• AI first mindset - Augment your productivity with AI whenever you see fit.
• Startup experience building, scaling and evolving data platforms for IPO-scale growth.

We’re a growing team that works collaboratively, supports each other, and is energized by having impact. We value passion and the ability to learn – you’re encouraged to apply even if your experience doesn’t match the job description precisely!

The following is a representative annual base salary range for this position within the Bay Area: $205k-$257k. In addition, job level and salary opportunities are evaluated through our interview process – we review the experience, knowledge, skills, and abilities of each applicant.

Instrumental is proud to offer a highly-rated variety of benefits, including health, vision, dental, commuter plans, and parental leave.

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This is a hybrid role that requires you to be in-office M/W/F in Palo Alto, CA. Is this a schedule you are able to accommodate?

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Req : R50