Director of Engineering, Data
Required skills
- Data Platform
- Data Architecture
- Ingestion
- Transformation
- Data Quality
- Observability
- Data Lineage
- Data Governance
- Lakehouse
- Streaming
Nice to have
- Physical-world systems
- Safety-critical systems
- Energy
- Robotics
- Autonomy
- Aerospace
Role summary
Gridware, a San Francisco-based technology company focused on protecting and enhancing the electrical grid through Active Grid Response (AGR), seeks a Director of Engineering to lead its company-wide data platforms. This is a hands-on, manager-of-managers role responsible for setting architecture, driving the roadmap, and building a team to manage novel, high-frequency data from edge devices. The role involves end-to-end ownership of the data platform, including ingestion, transformation, quality, observability, and governance, while supporting a federated ownership model and enabling machine learning and analytics across the organization. The ideal candidate has 10+ years in data engineering/platforms, including 5+ years in engineering management, with experience in modern lakehouse and streaming tools, and handling high-volume machine-generated data.
Role Overview We’re looking for a Director of Engineering to lead Gridware’s company-wide data platforms. This is a hands-on, engineering leadership role: you’ll set the architecture, drive the roadmap, and build the team for a platform that’s live and in production today, with 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 signals 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.
Applied data science
• Manage a small, cross-functional data science team focused on rapid assessment of new data problems to determine valuable investments.
• Set the bar for rigor on early-stage analysis. Turn ambiguous questions into scoped, decision-ready answers for stakeholders across the company.
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.
• Balance incubation work against platform goals, and grow both sides of the org as the business scales
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. • Experiencing leading data science/analytics, including efforts where the problem isn't well-defined.
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. 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
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