Data Architecture Analyst – Enterprise Data & Dashboards

SMX; Lansing (MI); On-site; USD 125,000 - 150,000; Full time

Job summary

SMX is seeking a Data Architecture Analyst to bridge the gap between functional finance teams and LCNC engineers. You will design data schemas, map process workflows, and translate complex Army financial requirements into clear user stories and acceptance criteria.

Essential duties include documenting processes and data structures, developing use cases and requirements traceability, drafting data dictionaries and SOPs, and ensuring data ingestion preserves source lineage and control totals.

Qualifications

• Active U.S. Secret Clearance (or higher).
• 5+ years of business or functional analysis experience supporting enterprise IT systems.
• Experience with process mapping, requirements gathering, and supporting system migration efforts.

Responsibilities

• Document business processes, data structures, calculations, workflows, and write-back processes to transition functionality off GFEBS BW.
• Develop use cases, user stories, and maintain requirements traceability from current state through LCNC implementation.
• Draft essential user guides, data dictionaries, and SOPs to support the sustainment handoff.
• Communicate effectively with both functional users and technical integration teams to ensure data ingestion preserves source lineage and control totals.

Skills

Active Security Clearance

5+ years business/functional analysis

Process mapping

Requirements gathering

Migration support

Large-scale federal datasets

Python

Pandas

PyArrow

Data modeling

Tools

Python

Pandas

PyArrow

Job description

SMX is seeking a Data Architecture Analyst to bridge the gap between functional finance teams and LCNC engineers. You will design data schemas, map process workflows, and translate complex Army financial requirements into clear user stories and acceptance criteria.

Essential duties include documenting processes and data structures, developing use cases and requirements traceability, drafting data dictionaries and SOPs, and ensuring data ingestion preserves source lineage and control totals.