26-0098-006 | Data Architecture and Governance Consultant — Databricks / Collibra — ICE AI / Data Advisory (Contingent)

26-0098-006 | Data Architecture and Governance Consultant — Databricks / Collibra — ICE AI / Data Advisory (Contingent)

• Washington, DC

Contingent on government contract award and funding.

Washington, DC is the opportunity-market location; actual work location and work model are to be determined.

Axyde Analytics, LLC is identifying experienced professionals for a proposed management and technical advisory team supporting its response to the ICE Enterprise AI, Data, and Technology Strategy/Architecture RFI (RFI-ICE_ADTS_Sep2026). The proposed mission is to help ICE turn AI and data investments into measurable operational results: establish a baseline, assess alternatives and cost/risk, recommend decisions, build an executable plan and verify benefits. This is a pre-award talent search for potential work; an RFI is market research and does not establish an awarded contract or guaranteed position.

Your contribution

Evaluate whether enterprise data architecture and governance support reliable, permitted and useful AI and analytics workflows. Identify practical improvements to data quality, access, lineage and stewardship.

Responsibilities

• Assess lakehouse pipelines, data product dependencies, access controls and failure/recovery behavior.
• Evaluate Databricks and Collibra integration, catalog, inventory, dictionary, lineage, quality and stewardship evidence.
• Trace a selected workflow from source and permission through transformation and consumption.
• Recommend prioritized improvements with measurable quality, service and cost outcomes.
• Hands-on lakehouse/data engineering or governance implementation experience, with strong depth in Databricks or Collibra and ability to work across their integration.
• Evidence of implementing or evaluating data permissions, quality controls, lineage and accountable stewardship.
• Ability to distinguish working integrations from conceptual designs and document dependencies.

Evidence we will discuss

• An existing redacted pipeline, catalog or lineage walkthrough with implementation details and your contribution.
• An example of a permission, quality or pipeline failure and verified correction.

Technical context

The RFI describes an existing STELLA environment spanning AWS, Microsoft Azure and Google Cloud, with Kubernetes and LLM/RAG capabilities, and a data environment integrating Databricks, Collibra, MuleSoft and Traceable. Its enterprise control plane, agentic orchestration/runtime and independent assurance layers are future-state concepts to be evaluated. Direct STELLA experience is preferred when lawfully demonstrable; comparable federal or regulated production experience is welcome. No applicant is expected to master every listed product or all three clouds.

Engagement conditions

Contingent on government contract award and funding. Work location, work model, travel and access requirements will be determined by the scope and agency requirements. Start date, engagement structure, compensation and any paid work terms will be agreed before work begins. This posting represents a coverage function, not a promise of a separate full-time position. Candidates may cover multiple functions where experience, availability and independent-review requirements permit.