Description
data architecture
data services
event streaming
ingestion standards
high‑throughput ingestion
cross‑team collaboration
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.
- Design end-to-end data platform architecture, including Lakehouse structures, governance layers, data domains, and lineage standards.
- Develop fault-tolerant, self-healing data services that maintain availability during storms, outages, and high-volume event bursts.
- Lead the evolution of our Event Streaming Platform, including schema strategy, Protobuf evolution, retention policies, and reliability models.
- Drive multi-quarter, multi-team data initiatives and partner across engineering to establish consistent ingestion contracts, schemas, and standards.
- Architect and scale high-throughput ingestion systems for sensor telemetry, device metadata, and real-time grid events.
Requirements
distributed systems
event streaming
spark
kubernetes
lakehouse
iot
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.
- 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.
- Experience with industrial IoT, sensor networks, or utility/energy data.
- 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.
- Expertise in Kubernetes, service mesh patterns, or cloud infrastructure for data-intensive systems.
- Demonstrated experience designing large-scale, real-time telemetry or IoT data pipelines with strong reliability requirements.
- 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.
Benefits
Alternating day off (every other Monday)
Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)
Paid parental leave
Commuter allowance
“Off the Grid”, a two week per year paid break for all employees.
Company-paid training
Training + Development
Information not given or found
