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Forward Deployed Engineer (Data)

First Resonance

Skills

Required

  • manufacturing / supply-chain / ERP / PLM / MES / quality / industrial data
  • software engineering
  • APIs
  • event streams
  • data engineering
  • analytics
  • building production data systems
  • technical plans
  • Python
  • SQL
  • dbt / Airflow / Dagster / Kafka

Preferred

  • forward deployed engineering / solutions architecture / technical consulting / implementation engineering
  • build reliable data pipelines
  • model complex manufacturing operations
  • establish data trustworthiness
  • go-live
  • documentation
  • webhooks

First Resonance, a company revolutionizing manufacturing with its ION Factory OS. As a Forward Deployed Engineer (Data), you will work directly with customer data, manufacturing, and IT teams to turn fragmented manufacturing data into durable, production-grade data products and pipelines. This hands-on, customer-facing engineering role involves designing architecture, writing production code, validating data, launching with users, and ensuring reliability.

Responsibilities

  • You will also build reliable data pipelines, model complex manufacturing operations, establish data trustworthiness, and convert successful customer work into reusable pipelines and platform improvements.
  • Deliver customer data solutions end to end, leading discovery, requirements, architecture, implementation, testing, go-live, documentation, and operational handoff for high-value customer use cases.
  • Build reliable data pipelines, ingesting, transforming, reconciling, and serving data across ION and customer systems using APIs, webhooks, event streams, batch workflows, and modern data tooling.
  • Model complex manufacturing operations, translating parts, bills of materials, work orders, inventory, quality, labor, costs, and engineering changes into clear and maintainable data models.
  • If you do four of these five things well, we encourage you to apply. We care more about evidence of ownership, learning, and shipped outcomes than a perfect keyword match

Requirements

  • 5+ years of experience in data engineering, software engineering, analytics engineering, or another role building production data systems
  • Ability to work directly with customers, turn ambiguous operational problems into clear technical plans, and communicate tradeoffs to both engineers and business leaders
  • Sound judgment around distributed-system and data-quality failure modes, including idempotency, ordering, schema evolution, reconciliation, observability, and access control
  • Experience building and operating data pipelines across APIs, transactional databases, event streams, object storage, and cloud data platforms
  • Strong programming ability in Python and fluency with SQL, data modeling, and software-engineering practices such as testing, version control, and code review
  • Experience with manufacturing, supply-chain, ERP, PLM, MES, quality, or industrial data
  • Experience designing metrics layers, analytical data products, or operational reporting used by frontline teams
  • Experience with AWS and modern data technologies such as dbt, Airflow or Dagster, Kafka or similar event systems, and cloud warehouses or lakehouses

Preferred

  • Familiarity with enterprise security, regulated environments, air-gapped networks, or customer-managed infrastructure
  • Experience in a customer-facing technical role such as forward deployed engineering, solutions architecture, technical consulting, or implementation engineering

Pay

USD 150,000 - 190,000