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Engineering Lead, Platform

Avathon
Pleasanton, USA
Lead · 8+ years experience
Remote
Discovered 5 days ago

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)

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