Data Modeler at ALTA IT Services
Washington, DC 20001, USA -
Full Time


Start Date

Immediate

Expiry Date

13 Dec, 25

Salary

70.0

Posted On

16 Sep, 25

Experience

6 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Participation, Childbirth, It, Consideration, Color, Life Insurance, Data Analytics, Alta, Data Engineering

Industry

Information Technology/IT

Description

MUST BE US CITIZEN TO OBTAIN PUBLIC TRUST CLEARANCE (ACTIVE PUBLIC TRUST PREFERRED)

$65-70/HR W2
NO C2C
We are seeking a customer experience focused Data Modeler & Architect to bridge the gap between business needs and cutting-edge data solutions—translating customer challenges into powerful insights that drive innovation, efficiency, and strategic growth. As a Data Modeler & Architect, you will work directly with Client stakeholders to translate business needs into data models, ensuring data accuracy and efficiency for analysis and reporting. You will support a multi-functional team in creating, validating, and delivering reports, data extracts, dashboards, and other data products. Our ideal candidate is mission focused and delivery oriented, and applies critical thinking to create innovative functions and solve technical issues.

NOT REQUIRED, BUT ADDITIONAL EDUCATION, CERTIFICATIONS, AND/OR EXPERIENCE ARE A PLUS:

  • Microsoft certification in Azure fundamentals, data engineering, AI, data analytics.
  • Data management certification (e.g. DAMA DMBOK)
  • Experience working on Generative AI projects.
    System One, and its subsidiaries including Joulé, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
    System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

    M2

LI-VH1

DI-VH1

Ref: #850-Rockville (ALTA IT)
B

Responsibilities
  • Work with business users to understand business data needs, business processes, and challenges.
  • Working with business analysts, system owners, and other stakeholders to gather requirements.
  • Create and maintain conceptual, logical, and physical data models to support business requirements, reporting and analytics.
  • Create and maintain source-target mappings, recommend and incorporate data standards, identify data quality issues and recommend remediations.
  • Communicate with stakeholders to ensure clear understanding of models and get buy in, and support stakeholders in development of queries and reports.
  • Optimize models for Azure cloud data architectures, including but not limited to data lake medallion architecture, Synapse Analytics, Azure SQL Managed Instance, NoSQL data stores, and Power BI.
  • Support reengineering efforts to transition workloads from the legacy Enterprise Data Warehouse to Azure Data Lake Platform.
  • Optimize data models for performance, data quality, and scalability.
  • Work with data governance team, data stewards, subject matter experts to recommend and implement data standards, including for vocabulary, data formats, and reference data.
  • Work with the DevOps team to support and advise on implementation.
  • Provide hands on support for reporting, data requests, data calls, and other forms of data delivery.
  • Ensure support for data governance frameworks, security best practices, and compliance regulations.
  • Create and maintain documentation for data models and related processes.
  • Implement and enforce data modeling standards and best practices.
  • Assist with troubleshooting data-related issues and providing technical support.
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