Engineering Lead, Platform
Full Job Posting
You Will
Data and Ingestion
Own the architecture for data ingestion, including Avathon Data Ingest (ADI) at the edge and reusable connectors for OT protocols (OPC-UA, DNP3, MQTT, historians) and IT systems (SAP, Oracle and others)
Build the landing zone and Bronze/Silver/Gold processing that turns raw data into clean, governed data
Set standards for data quality, freshness, lineage and access control across the platform
Ontology and Knowledge Graph
Own the services that map raw data into the ontology and Computational Knowledge Graph
Make the graph fast and reliable at industrial scale, and give applications clean APIs to query it
Work with the Model Hub and agent teams so models and AI agents can read from and act on the graph safely
Team Leadership
Lead and grow a team of platform engineers; set priorities, review designs and code, and mentor
Partner with the Platform product manager on roadmap, scope and release planning
Work with cloud operations and security on multi-tenant, single-tenant, on-premise and edge deployments
Own quality, performance and reliability of platform services
You'll Have
8+ years of software engineering experience, including 3+ years leading engineers
Built data or AI platforms used by other teams, ideally at Palantir, C3 AI, Databricks, Snowflake, Cognite or a hyperscaler data or AI team
Strong backend and distributed systems skills in Python, Java, Go or Scala
Experience with data pipelines, streaming (Kafka or similar), lakehouse architectures and large-scale storage
Experience with ontologies, knowledge graphs or graph databases is a strong plus
Experience with industrial data (OPC-UA, historians, SCADA) or edge deployments is a strong plus
Experience with Kubernetes and cloud platforms (GCP, AWS or Azure)
Bachelor's or Master's degree in Computer Science, Engineering or a related field
Compensation
Pay Range: $160,000-$220,000 salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.
Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
Qualifications
- Experience with data pipelines, streaming (Kafka or similar), lakehouse architectures and large-scale storage
- Experience with ontologies, knowledge graphs or graph databases is a strong plus
- Experience with industrial data (OPC-UA, historians, SCADA) or edge deployments is a strong plus
- Experience with Kubernetes and cloud platforms (GCP, AWS or Azure)
About Avathon
Industrial AI software company serving commercial and government customers across energy, manufacturing, mining, logistics, aerospace, and defense.
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