Staff Data Engineer

GridwareSan Francisco, CA
15d

About The Position

As a Staff Data Engineer / Data Architect at Gridware, you will define and build the architecture of our most critical data systems, spanning real-time streaming pipelines, Lakehouse governance, telemetry ingestion, and cross-domain data models. This role sits at the top of the technical IC track and requires deep expertise in distributed data systems, IoT telemetry flows, and architectural strategy. You will partner across Firmware, Software, DevOps, and Data Science to establish Gridware’s long-term data platform vision. Your work will directly shape how sensor and grid event data flows through our system, enabling fault detection, wildfire risk mitigation, and real-time grid intelligence at scale.

Requirements

  • 10+ years of experience in Data Engineering, Data Architecture, or Distributed Systems roles.
  • Expert-level knowledge of event streaming (Kafka/Kinesis), distributed compute (Spark/Databricks), and Lakehouse architectures.
  • Demonstrated experience designing large-scale, real-time telemetry or IoT data pipelines with strong reliability requirements.
  • Deep understanding of partitioning, backpressure, consistency models, and distributed system internals.
  • Proven ability to own complex systems end-to-end and influence technical strategy across teams.

Nice To Haves

  • Experience with industrial IoT, sensor networks, or utility/energy data.
  • Expertise in Kubernetes, service mesh patterns, or cloud infrastructure for data-intensive systems.
  • Background designing data governance frameworks or domain ownership models.
  • Open-source contributions, publications, or talks in distributed systems or data platform architecture.
  • Experience building high-SLA ingestion platforms for real-time monitoring or alerting systems.

Responsibilities

  • Architect and scale high-throughput ingestion systems for sensor telemetry, device metadata, and real-time grid events.
  • Design end-to-end data platform architecture, including Lakehouse structures, governance layers, data domains, and lineage standards.
  • Lead the evolution of our Event Streaming Platform, including schema strategy, Protobuf evolution, retention policies, and reliability models.
  • Develop fault-tolerant, self-healing data services that maintain availability during storms, outages, and high-volume event bursts.
  • Drive multi-quarter, multi-team data initiatives and partner across engineering to establish consistent ingestion contracts, schemas, and standards.

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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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

51-100 employees

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