Data Solutions Architect

Ad hoc Research

  • El Paso, Texas
  • 30+ days ago

    Highlights

    Operationalize AI/ML: Develop AI agents that can rapidly search multiple databases and other sources and present critical customer information in the format desired, such as Common Operating Pictures, live dashboards, ongoing tactical operations, automated reports, and capability performance assessments for JMC leadership and staff at every level. Architect & Engineer Solutions: Design and produce data solutions and automated information products that support continual experimentation and assessments using Army tools such as AZURE (T2COM Cloud/C-Army/Advantage), VANTAGE, Power BI, SharePoint Online, Power Automate, and Microsoft 365.

    Numbers & Facts

    LocationEl Paso, Texas
    Websitead-hocresearch.com

    Description

     Job Description:

    Data Solutions Architect

    All Candidates must be a US Citizen and possess an Active Secret Security Clearance before applying

    Position: Data Solutions Architect

    Key Responsibilities:

    • Architect & Engineer Solutions: Design and produce data solutions and automated information products that support continual experimentation and assessments using Army tools such as AZURE (T2COM Cloud/C-Army/Advantage), VANTAGE, Power BI, SharePoint Online, Power Automate, and Microsoft 365.
    • Operationalize AI/ML: Develop AI agents that can rapidly search multiple databases and other sources and present critical customer information in the format desired, such as Common Operating Pictures, live dashboards, ongoing tactical operations, automated reports, and capability performance assessments for JMC leadership and staff at every level.
    • Dashboard & Analytics Development: Partner with JMC staff teams to develop dashboards and predictive analytics in SharePoint (NIPR/SIPR), Power BI, Python, or other appropriate tools.
    • Data Governance & Quality: Establish and enforce governance, lineage, and quality standards that drive authoritative, trusted data for decision-making.
    • Integration & Federation: Plan, design, and implement ingestion of diverse external data sources, ensuring interoperability across multiple Army environments and enterprise systems.
    • Security & Compliance: Champion OPSEC, IA, and PII safeguards in all workflows, aligning with DoD and Army enterprise architecture standards.

    Qualifications

    • Education: Bachelor's degree in Computer Science, Engineering, Data/Information Systems, Math, or related field (Master's preferred). Equivalent experience may substitute.
    • Clearance: Active Secret Clearance required.
    • Experience:
    • 5+ years leading or engineering enterprise data/analytics platforms
    • 3–5+ years in ETL, data wrangling, and data pipeline development

    Travel

    10-15% a year to CONUS and OCONUS locations

    Salary

    $140-145k

    Experience:

    • VANTAGE: 5 years (Required)
    • Azure: 5 years (Required)
    • SharePoint(NIPR/SIPR): 5 years (Required)

    Security clearance:

    • Secret (Required)

    Work Location: In person

    ABOUT AD-HOC RESEARCH

    Ad-Hoc Research specializes in providing the full spectrum of Systems Engineering services to major DOD acquisition programs and Research & Development projects. Our company believes in inducing innovations through focused research. We are an army veteran owned 8a company with defense contracts in many states. We are also launching a cyber range platform to provide customer support to our army and defense clients. Our data science team supports a major telecom company to develop and operationalize AI/ML models. We have a lot of exciting opportunities to grow and be successful in our fast growing company!

    Ad-Hoc Research is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin.

    Job Type: Full-time

    Benefits:

    • 401(k)
    • 401(k) matching
    • Dental insurance
    • Flexible schedule
    • Health insurance
    • Life insurance
    • Paid time off
    • Professional development assistance
    • Referral program
    • Tuition reimbursement
    • Vision insurance


      Required Skills:

    Data

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