---
title: 'Data Platform Engineer at BrightAI Corporation'
canonical: 'https://feeny.ai/job/data-platform-engineer-brightai-corporation-palo-alto-7vjacxaz5qsh'
type: 'job'
last_seen: '2026-11-08'
---

# Data Platform Engineer at BrightAI Corporation

- **Company:** BrightAI Corporation
- **Location:** Palo Alto, CA
- **Posted:** 2025-10-07
- **Last confirmed live:** 2026-11-08
- **Apply:** https://job-boards.greenhouse.io/brightai/jobs/5590029004

## Job description

We are a high-growth company transforming how businesses operate by integrating AI, IoT, and cloud-native services into scalable, real-time platforms. As a Platform Data Engineer, you’ll play a critical role in building and maintaining the data infrastructure that powers our products, services, and insights.

You’ll join a multidisciplinary team focused on ingesting, processing, and managing massive streams of sensor and operational data across a wide array of devices—from drones and robots to industrial systems and smart environments.

## Responsibilities

- Design, build, and maintain scalable, reliable, and high-throughput data ingestion pipelines for structured and semi-structured data.
- Implement robust and secure data lake and SQL-based storage architectures optimized for performance and cost.
- Develop and maintain internal tools and frameworks for data ingestion using Python, Golang, and SQL.
- Build and maintain inference pipelines to support model serving and near real time prediction workflows
- Develop and maintain internal tools and deployment processes to support ML development workflow , including experimentation, testing, deployment and monitoring.
- Collaborate cross-functionally with Cloud, Edge, Product, and AI teams to define data contracts, schemas, and retention policies.
- Use AWS cloud infrastructure (including Argo Workflows, S3, Lambda, Glue, Kinesis, Athena, and RDS) to support end-to-end data workflows.
- Employ Infrastructure-as-Code (IaC) practices using Terraform to manage data platform infrastructure.
- Monitor data pipelines for quality, latency, and failures using tools such as CloudWatch, SumoLogic, or DataDog.
- Build and maintain ingestion pipelines that land curated sensor and operational data into Delta tables on Databricks to support ML experimentation and model training.
- Continuously optimize storage, partitioning, and query performance across large-scale datasets.
- Participate in architecture reviews and ensure the platform adheres to security, compliance, and best practice standards.

## Skills and Qualifications

- 5+ years of professional experience in software engineering or data engineering.
- Strong programming skills in Python and Golang.
- Deep understanding of SQL and modern data lake architectures (e.g., using Parquet, Iceberg, or Delta Lake).
- Hands-on experience with AWS services including but not limited to: S3, Lambda, Glue, Kinesis, Athena, and RDS.
- Proficiency with Terraform for automating infrastructure deployment and management.
- Hands-on experience with Databricks for ML workflows: MLflow experiment tracking and model registry, Model Serving, and building training datasets in Delta Lake (PySpark/Spark SQL).
- Experience working with real-time or batch data ingestion at scale, and designing fault-tolerant ETL/ELT pipelines.
- Familiarity with DVC for dataset versioning and management.
- Familiarity with event-driven architectures and messaging systems like Kafka or Kinesis.
- Strong debugging and optimization skills across cloud, network, and application layers.
- Excellent collaboration, communication, and documentation skills.

Bonus Points

- Experience working with time-series or IoT sensor data at industrial scale.
- Exposure to gRPC and protobuf-based data contracts.
- Experience supporting ML pipelines and feature stores.
- Working knowledge of Kubernetes concepts.
- Databricks Machine Learning certification (Professional)
- Prior startup experience and/or comfort working in fast-paced, iterative environments.

## About BrightAI Corporation

## Company Overview
- **One-liner**: BrightAI provides a Physical AI platform that makes the invisible state of critical infrastructure visible and actionable, enabling proactive operations.
- **Entity Type**: Private (Series A, $51M raised in July 2025)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2019
- **Founders**: Alex Hawkinson, Nathan Hanks

## Core Business
- **Primary Industry**: AI-powered critical infrastructure management
- **Target Customers**: B2B/Enterprise – owners and operators of essential services in water, power, gas compression, pest control, HVAC, and manufacturing
- **Mission/Purpose**: “Beyond human capacity—we take advanced AI and autonomous technology and make the invisible state of physical infrastructure visible and actionable.”

## Products & Services
- **[Stateful Platform](https://bright.ai/)**: An edge AI platform that ingests sensor data and existing operational records to provide continuous monitoring, root-cause diagnosis, automated dispatch instructions, and machine learning. Deployed across physical assets and environments.
- **Workforce Wearables & Copilots**: Real-time AI-powered insights, communication, and operational support for field workers.
- **Asset & Site Visibility**: Real-time monitoring and proactive asset management for long-term system reliability.
- **Autonomous Inspection**: Safe, reliable data collection from remote and hard-to-access sites using robots and drones.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metrics**:
  - **Annual Revenue**: $75M (estimated, per LinkedIn data)
  - **Total Funding**: $66M (Seed $15M in Nov 2024, Series A $51M in July 2025)
  - **Headcount**: 103 employees (+121.7% YoY)
  - **Deployments**: 250K+ Stateful AI endpoints in the field; 50K+ locations in operating environments
- **Notable Investors/Partners**:
  - Series A lead investors: Khosla Ventures, Inspired Capital
  - Partners: Industry leaders in infrastructure (specific names not disclosed)
- **Growth Signals**:
  - Surpassed $100M milestone (likely an operating or revenue metric) in mid-2025
  - Added senior leaders from Microsoft, Evernote, and Intel in June 2025
  - 15 active job openings; monthly job posting growth +114.3%, yearly +650%

## Competitive Advantages
- **Proactive vs. Reactive**: Shifts infrastructure management from emergency repairs to continuous, predictive AI-driven operations.
- **Full-Stack Physical AI**: Combines edge computing, computer vision, LLMs, time-series signal processing, and robotics into one platform.
- **Founder Expertise**: CEO Alex Hawkinson previously founded SmartThings (acquired by Samsung) and co-founded EfficientAI and OurSky.
- **Real-World Scale**: Proven across 50K+ harsh environments (pipelines, power poles, mining vehicles).

## Strategic Focus
- **Scale Edge AI Deployments**: Accelerate adoption of the Stateful Platform across more infrastructure sectors globally.
- **Expand Leadership & Talent**: Strengthen executive team with deep tech and IoT experience to support rapid growth.
- **Deepen Autonomous Capabilities**: Invest in computer vision, LLM/RAG, time-series signal processing, and robotics to further reduce human intervention in inspection and dispatch.

## Why Work Here
- **Culture**: Values “Curious, Relentless, Collaborative, Impactful.” Emphasis on hands-on problem solving, ownership, and leaving a legacy.
- **Work Model**: Distributed team across the US (San Francisco to New York); remote/hybrid policy not explicitly stated but likely flexible given nationwide team.
- **Engineering Environment**: Deep talent pool across AI, embedded systems, cloud, and robotics; engineers work on cutting-edge physical AI problems.
- **Growth Stage**: High-growth company with 121.7% headcount growth YoY and substantial funding, offering career acceleration.

## Sources
1. [BrightAI Homepage](https://bright.ai/)
2. [BrightAI About Us](https://bright.ai/about-us/)
3. [BrightAI Careers Page](https://bright.ai/careers/)
4. [BrightAI Job Board (Greenhouse)](http://job-boards.greenhouse.io/brightai)
5. [BrightAI LinkedIn Company Page](https://www.linkedin.com/company/brightai)

## Other roles at BrightAI Corporation

- [Growth Marketing Lead](https://feeny.ai/job/growth-marketing-lead-brightai-corporation-united-states-68fyx21887hy) — United States
- [Product Marketing Lead](https://feeny.ai/job/product-marketing-lead-brightai-corporation-united-states-wj7kf85hk8r0) — United States
- [Senior Brand Designer](https://feeny.ai/job/senior-brand-designer-brightai-corporation-united-states-5bryjf25snf8) — United States
- [Senior/Staff Firmware Engineer](https://feeny.ai/job/senior-staff-firmware-engineer-brightai-corporation-san-francisco-dzf938d12v14) — San Francisco, CA
- [Senior/Staff Embedded Test Engineer](https://feeny.ai/job/senior-staff-embedded-test-engineer-brightai-corporation-palo-alto-6zjgf8gjp1ww) — Palo Alto, CA
- [Staff Product Manager](https://feeny.ai/job/staff-product-manager-brightai-corporation-palo-alto-skvg6872kq3x) — Palo Alto, CA
- [Senior / Staff Technical Program Manager](https://feeny.ai/job/senior-staff-technical-program-manager-brightai-corporation-palo-alto-320vtrv5h1qk) — Palo Alto, CA
- [AI Engineer, Time-Series Signal Processing](https://feeny.ai/job/ai-engineer-time-series-signal-processing-brightai-corporation-palo-alto-w5rdhqg2t6sd) — Palo Alto, CA
- [Data Platform Engineer](https://feeny.ai/job/data-platform-engineer-nexus-cognitive-technologies-pune-2h59qjtpzx79) — Pune, India
- [Data Platform Engineer](https://feeny.ai/job/data-platform-engineer-accenture-federal-services-arlington-kmj67ek4cpzp) — Arlington, VA