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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Government Data Integration Architect / NIEM Architect - **Company:** CHAMELEON TECH SERVICES, LLC - **Location:** Tallahassee, FL, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Legacy Database, Component-Based Software Engineering, Chameleon, Databases, Data Architecture, Data Dictionary, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Profiling, Data Warehousing, Federated Identity Management, Instant Messaging Technology, JSON, Metadata, Azure Data Lake, Systems Integration, Extensible Markup Language (XML), Data Logging, File Transfer Protocol (FTP), Data Ingestion, Semi-structured Data, Data Analytics, Data Management, Database View, Restful APIs, Legacy Systems, Databricks - **Published:** August 13, 2026 - **Apply:** https://www.careerjet.com/jobad/us25a18c49015d5a4c1f6c43b279374916 ## About the Role * Experience Baseline: 8+ years of comprehensive enterprise data integration, data warehousing, or data architecture experience. * Government Depth: 3+ years of dedicated, hands-on data integration experience working inside a federal, state, or local government framework. * NIEM Mastery: Documented, verifiable experience designing and executing NIEM-conformant or NIEM-compatible information exchanges. * Domain Architecture: Advanced structural familiarity with NIEM domains, data components, exchange specifications, and extension rules. * Mapping Expertise: Extensive background executing complex source-to-target mapping, data profiling, metadata logging, and data-lineage cataloging. * Exchange Protocols: Proven experience managing both structured and semi-structured data-exchange formats, including JSON, XML, REST APIs, CSV flat files, database views, and automated batch/SFTP pathways. * Data Quality Engineering: Strong track record establishing automated cross-system data reconciliation scripts and automated validation profiling rules. * Vetting & Location: Must be a U.S.-based citizen or resident. Must be able to successfully clear an FDLE Level II background screening (including fingerprinting) within 5 business days of contract award. Strong Preferences * Direct experience integrating or mapping data from legacy state financial and procurement architectures. * Working data domain familiarity regarding procurement workflows, contract activities, purchasing cards, state vendor payments, or grant management ledgers. * Hands-on data engineering experience leveraging Azure Databricks workspaces and Azure Data Lake Storage Gen2 (ADLS Gen2). * Deep technical specialization in master data management (MDM) or advanced programmatic entity resolution. * Working knowledge of secure government interoperability models or federated identity standards beyond basic NIEM implementations. ## Description * Position Type: Part-Time Consultant / Technical Architecture Specialist * Target Allocation: 18-22 hours/week average (Note: Workload is heavily concentrated around Deliverable 4, which requires the complex architectural reconciliation of data models across legacy systems including MFMP, FACTS, FLAIR, PALM, and the DFS Data Warehouse). * Location: Remote (U.S. Based) with periodic travel to Tallahassee, FL as required. * Technical Reality: Evaluators for this project can easily distinguish between ordinary corporate ETL experience and true standards-based government information exchange. Actual hands-on experience deploying standardized data-exchange models is mandatory. Chameleon is seeking a Senior Government Data Integration Architect / NIEM Architect to engineer the semantic interoperability layer for a high-visibility contract with the Florida Office of the Chief Inspector General (OCIG). In this role, you will take complete ownership of building a standardized, repeatable data translation framework to transition a data analytics Proof of Concept (POC) into an enterprise-ready Decision Intelligence Platform. This platform will unify statewide oversight, tracking abnormal spending patterns, contract vulnerabilities, and fraud/waste/abuse risks across up to 35 state agencies. Because this is a high-visibility, firm-fixed-price (FFP) state government contract, you will maintain absolute technical accountability for designing data architectures that align strictly with the National Information Exchange Model (NIEM) to ensure long-term, vendor-neutral state operations. Principal Responsibilities * NIEM Compliance Ownership: Lead the structural strategy for NIEM compliance and compatibility, detailing exact plans for NIEM conformance levels, component reuse, domain extensibility, and constraint mitigation. * Canonical Modeling: Define, build, and maintain the platform's canonical data model to standardize information formatting across all ingested state datasets. * Cross-System Mapping: Develop a unified cross-system mapping and standardization framework to reconcile critical field differences, schema variations, timing misalignments, and data quality gaps across legacy source systems. * Entity Resolution: Design and implement record-linkage models and identifier normalization logic to accurately track unique vendors and transactions across completely separate agency databases. * Source Coordination: Act as the primary technical point of contact for source-system data owners across different state departments to resolve field clarifications, mapping guidance, and legacy database nuances. * Documentation Delivery: Produce comprehensive data dictionaries, transformation documentation, source-to-canonical lineages, and highly detailed data-exchange specifications in open, editable formats. * Onboarding Optimization: Map out and support the ingestion pipelines for core procurement modules, including invoices, purchase orders, contracts, vendor information portal ledgers, and downstream financial fields. * Reusable Patterns: Build reusable, automated data-mapping templates to accelerate and standardize the onboarding workflows for the initial wave of 8-10 state agencies., * The Specific NIEM Implementation: Detail exactly how you applied NIEM standards, naming the specific domains, extensions, or information exchange package documentation (IEPD) you personally engineered. * System Integration Complexity: Specify the exact systems you connected (e.g., legacy mainframe, REST APIs), data volumes, and precise project duration. * Personal Contribution: Detail exactly what you personally built or documented (e.g., "Authored source-to-canonical schema mappings for vendor payments," "Coded entity resolution scripts for transaction matching"). * Deployment Status: Explicitly state the true production, operational, or steady-state status of the information exchange platform. * Quantifiable Results: Include the precise metrics achieved under your guidance, such as data completeness percentages, integration success rates, or volume of record-count variances eliminated. "We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status" Texting Privacy Policy * Message type: Informational; you will receive text messages regarding your application and potentially regarding interview scheduling. * No mobile information will be shared with third parties/affiliates for marketing/promotional purposes. * Message frequency will vary depending on the application process.Msg & data rates may apply. * OPT out at any time by texting "Stop". ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)