Director of Engineering, Data

San Francisco, CA, US • Posted 2 days ago • Updated 4 minutes ago
Full Time
On-site
USD $260,000.00 - 280,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Roadmaps
  • Mechanical Engineering
  • Acoustics
  • Electrical Engineering
  • Data Architecture
  • Data Quality
  • Reporting
  • Machine Learning (ML)
  • Research
  • Analytics
  • Data Engineering
  • Engineering Management
  • Management
  • Streaming
  • Databricks
  • Apache Kafka
  • Amazon Kinesis
  • Change Data Capture
  • Terraform
  • Sensors
  • Energy
  • IoT
  • Robotics
  • Aerospace
  • Cloud Architecture
  • Migration
  • Data Science
  • Law
  • Platinum DB2 for z/OS
  • GRID
  • Training

Summary

About Gridware

Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit ;br>
Role Overview
We're looking for a Director of Engineering to lead Gridware's company-wide data platforms. This is a hands-on, manager-of-managers role: you'll set the architecture, drive the roadmap, and build the team, on a platform that's live and in production today: real customers, a legacy migration in flight, and a federated ownership model across a large number of business domains.
You'll be working with novel, never-before-seen data: high-frequency mechanical, acoustic, electrical, and environmental signal from tens of thousands of power-constrained edge devices with intermittent connectivity, where ground truth comes from line crews in the field rather than a labeling vendor. This role will define new data problems that can be solved and change what the rest of the organization believes is possible with Gridware data.

Responsibilities

Platform architecture and delivery
Own the data platform end to end: ingestion, transformation, raw and sanitized data layers, and overall data architecture.
Drive data quality, observability, lineage, and governance across the organization.
Advance legacy migrations and step-change improvements to data platforms without disrupting the teams already depending on them.
Enablement and adoption
Own the tooling, patterns, and support that let business domains build and maintain their own analytics and reporting under a federated ownership model.
Build the data foundations that machine learning and applied research depend on.
Drive analytics enablement for both technical and non-technical teams across the company.
Org building
Hire and design the data organization as it grows over the next year.
Build and grow a world-class team of data engineering leaders.

Required Skills

10+ years in data engineering or data platform roles, including 5+ years in engineering management roles, currently or most recently managing managers.
Hands-on experience with modern lakehouse and streaming tooling (e.g., Databricks, Kafka, Kinesis, CDC pipelines, Airflow, Terraform) and able to contribute heavily to an architecture review with the team.
Background in high-volume, machine-generated data: telemetry, sensor, IoT, observability, or logs, rather than primarily transactional or clickstream data.
Experience running a data platform with real internal business stakeholders beyond engineering.
Experience operating in a federated or domain-ownership model, with a clear point of view on what worked and what didn't.
Experience building or substantially rebuilding platform capability, not only maintaining a mature platform.

Bonus Skills

Background in physical-world or safety-critical systems: energy, IoT, robotics, autonomy, or aerospace.
Experience with edge/cloud architecture under power or bandwidth constraints.
Experience migrating an organization off a fragmented legacy state while it stayed live.
Experience scaling with a company through a period of significant growth.
Experience with data science, analyzing complex data to help the company make smart business decisions.

$260,000 - $280,000 a year

This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!

Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.

Benefits

Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)

Paid parental leave

Alternating day off (every other Monday)

"Off the Grid", a two week per year paid break for all employees.

Commuter allowance

Company-paid training
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80183587
  • Position Id: a3aaf9c22290c3a265681ea768a779f5
  • Posted 2 days ago
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