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Director of Engineering, Data
Job Location:
Job Location:
San Francisco, CA - USA
Yearly Salary:
USD 260000 - 280000
Yearly Salary:
Posted:
29 September 2026 (2 days ago)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job 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. Gridwares 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.
Role Overview
Were looking for a Director of Engineering to lead Gridwares company-wide data platforms. This is a hands-on manager-of-managers role: youll set the architecture drive the roadmap and build the team on a platform thats live and in production today: real customers a legacy migration in flight and a federated ownership model across a large number of business domains.
Youll 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.
Were looking for a Director of Engineering to lead Gridwares company-wide data platforms. This is a hands-on manager-of-managers role: youll set the architecture drive the roadmap and build the team on a platform thats live and in production today: real customers a legacy migration in flight and a federated ownership model across a large number of business domains.
Youll 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.
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 didnt.
Experience building or substantially rebuilding platform capability not only maintaining a mature platform.
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 didnt.
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.
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.
$260000 - $280000 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
Required Experience:
Director
About Company
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! Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating ... View more
