Remote Data Architect Jobs
Remote Data Architect jobs are in strong demand across the U.S., with remote-first firms and distributed engineering teams actively hiring for this role in technology, finance, healthcare, and data-intensive industries. Employers hiring remotely right now include Humana, ServiceNow, and JBS INTERNATIONAL. Find a role that fits below and apply directly.
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Chameleon Integrated Services has expertise in operations management, quality systems, data operations and cybersecurity. We secure some of the most sensitive data for the Department of Defense and for other U. S. federal government agencies. We are known for the great care we take with clients and employees, and we believe in promoting from within.
Senior Government Data Integration Architect / NIEM Architect
Position Overview
- 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.
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.
Required Qualifications
- 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.
MANDATORY RESUME FORMATTING INSTRUCTIONS
The State of Florida strictly evaluates and verifies all named staff experience for this contract. Generic resumes that only list generalized technical keywords or traditional corporate ETL tasks without specific government frameworks will be automatically rejected.
To be considered for this role, your resume must explicitly detail the following metadata for your past contract positions:
- The Government Customer: Explicitly name the agency and the specific interoperability framework utilized (e.g., Department of Justice, State Revenue Office).
- 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".
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Find Remote Data Architect JobsRemote Data Architect Job Market
Who's Hiring
- Humana11

- ServiceNow6

- JBS INTERNATIONAL5

- BV Teck4

- World Wide Technology4

Top Industries Hiring
- Technology & Software11
- Construction & Real Estate3
- Healthcare & Medical Services3
- Consulting & Professional Services3
- Insurance2
What Employers Look For
The qualifications that appear most often in remote data architect jobs.
- 7 or more years of experience in data engineering, data modeling, or database architecture roles
- Proficiency in cloud data platforms such as Snowflake, Azure Synapse, Google BigQuery, or Amazon Redshift
- Strong SQL skills and experience with both relational and NoSQL database design
- Experience designing dimensional models, data vaults, or enterprise data warehouse schemas
- Familiarity with data governance frameworks, metadata management, and data cataloging tools
- Bachelor's degree in computer science, information systems, or a related technical field
Tips for Your Remote Data Architect Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data architect openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sorting through location-filtered noise from general job boards.
Document your architecture decisions in writing
Remote hiring managers evaluate written communication as a core skill for data architects. Build a habit of writing up schema decisions, data model rationales, and pipeline tradeoffs clearly. Share these as artifacts in your portfolio or interviews to prove you work effectively in async environments.
Target remote-first companies and distributed teams
Companies built as remote-first have mature workflows for data architects working across time zones. Prioritize organizations where the entire engineering or data team is distributed, not just roles tagged remote as an afterthought, so the infrastructure and collaboration norms already fit how you work.
Show fluency with cloud-native data tooling
Remote data architect roles concentrate on cloud platforms like AWS, Azure, and GCP along with modern orchestration and catalog tools. Make your proficiency explicit in your application materials by naming the specific services and patterns you've used, since remote employers can't assess this in a whiteboard session.
Remote Data Architect Jobs: Frequently Asked Questions
How do I get a remote data architect job?
Focus your search on remote-first companies and distributed engineering teams, which hire data architects without location requirements. Remote employers screen hard for self-direction, clear written communication, and the ability to document architectural decisions asynchronously. Strong candidates show fluency with cloud data platforms, data modeling, and modern orchestration tools, and can demonstrate they've delivered independently without in-person oversight.
Which companies hire remote data architects?
Remote data architect roles are posted by Humana, ServiceNow, and JBS INTERNATIONAL and others right now, based on current remote listings on Migrate Mate as of August 2026. Remote-first technology companies, distributed SaaS teams, and data-heavy financial services and healthcare organizations account for a significant share of these openings.
Can you get a remote data architect job with no experience?
Yes, but remote entry-level data architect roles are harder to land because employers expect you to work independently from day one without in-person mentorship. You can open the door by building a public portfolio of data models, schema designs, or documented pipeline architecture projects, contributing to open-source data projects, and targeting smaller remote-first startups that hire for potential alongside demonstrated technical fundamentals.
Do you need a degree for remote data architect jobs?
Not always. Remote employers weigh practical skills and demonstrated results heavily alongside formal credentials. A strong portfolio showing data modeling, cloud platform architecture, and real-world pipeline design can carry significant weight. Certifications from major cloud providers and hands-on project work, especially for specialized stacks, often matter more to distributed teams than the specific degree you hold.
Which industries hire the most remote data architects?
The sectors hiring the most remote data architects are Technology & Software, Construction & Real Estate, and Healthcare & Medical Services, based on current remote listings on Migrate Ate as of August 2026. These industries run large distributed teams that depend on centralized data infrastructure managed by architects working across time zones.
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