Staff Data Platform Engineer - Remote, AI-Powered

Invoca

Denver (CO)

Remote

USD 152,000 - 228,000

Full time

3 days ago
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Benefits offered by this job

Health benefits
Mental wellbeing program
Wellness subsidy
Flexible time off
Paid holidays
Paid family leave
Paid medical leave
401(k) with company match

Job summary

Invoca is seeking a Staff Software Engineer to provide technical leadership for the Data Platform team. You will define the strategic direction, own the 3-month delivery plan, and ensure data used by AI agents is reliable, fresh, and well-governed.

You will collaborate with product engineering, analytics, and data science to align technical outcomes with business value, shipping high-impact data infrastructure improvements across ingestion, lakehouse, and analytics tooling.

Qualifications

  • 8+ years of software engineering experience with data platform/infrastructure/backend systems and measurable production impact.
  • Proven technical leadership: setting vision, architecture, iterative delivery, and accountability for releases.
  • Experience with Databricks or lakehouse platforms and modern pipeline orchestration tooling.
  • Experience delivering data to AI systems as context (retrieval, embeddings, feature/context serving).

Responsibilities

  • Define and evolve the technical vision for Invoca's data platform across product teams.
  • Design and build ingestion, streaming, and transformation pipelines for data and signals.
  • Lead rolling 3-month delivery plan and coordinate across engineering and product teams.
  • Build data-as-context systems for AI agents and data intelligence products.
  • Establish safe, observable practices for integrating AI into data workflows.

Skills

Software engineering
Data platform
Leadership
Databricks
Lakehouse
Pipeline orchestration
AI tools
Cross-functional collaboration

Tools

Databricks
Lakehouse platform
Pipeline orchestration tooling

Job description

Invoca is seeking a Staff Software Engineer to provide technical leadership for the Data Platform team. You will define the strategic direction, own the 3-month delivery plan, and ensure data used by AI agents is reliable, fresh, and well-governed.

You will collaborate with product engineering, analytics, and data science to align technical outcomes with business value, shipping high-impact data infrastructure improvements across ingestion, lakehouse, and analytics tooling.

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