Data Architect

United Software Group, Inc.
Columbus, OH, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$208,000.0 - $224,640.0
Working hours
Regular working hours
Job source

Tech stack

Amazon S3 Data Analysis Microsoft Azure Cloud Database Data Architecture Data Cleansing Data Governance Data Infrastructure Data Integration Data Systems Software Design Patterns IT Management
+16 more
Microsoft SQL Server Cloud Services Salesforce.Com Systems Integration Tableau (Software) Enterprise Data Management Apex Code Cloud Platform System Snowflake Salesforce Lightning Enterprise Integration Operational Systems Data Management Physical Data Models Domain Driven Design Data Pipelines

Job description

seeking a Senior Data Architect to provide technical leadership and architectural guidance for enterprise data platforms, analytics environments, data integration systems, and scalable data solutions. The selected consultant will work closely with Enterprise Architecture teams, IT leadership, Database Administrators, Data Engineers, and BI professionals to design and implement enterprise-grade data architecture aligned with agency business needs and long-term modernization initiatives. This role requires deep expertise in enterprise data modeling, data integration, data governance, cloud data platforms, analytics environments, and scalable architecture best practices. Candidate must report onsite for Day 1 at: 30 E Broad Street, 13th Floor, Columbus, Ohio 43215 Key Responsibilities Enterprise Data Architecture & Modeling

  • Design and maintain conceptual, logical, and physical data models supporting enterprise analytics and operational systems.
  • Develop and promote enterprise data modeling standards, naming conventions, and reusable design patterns.
  • Support scalable, domain-driven data architecture aligned with enterprise governance and integration strategies.
  • Contribute to the agency’s enterprise data architecture roadmap and modernization efforts.
  • Ensure data solutions are interoperable, reusable, and aligned with enterprise standards.

Data Platforms & Integration

  • Design and optimize enterprise data integration solutions and analytics environments.
  • Configure and support integrations between agency systems and enterprise data lake platforms.
  • Provide architectural guidance around data cleansing, classification, transformation, and curation processes.
  • Lead technical discussions related to implementation, optimization, maintenance, and operation of enterprise data systems.
  • Collaborate with enterprise partners to improve data quality, accessibility, and scalability.

Technical Leadership & Collaboration

  • Serve as a senior technical resource influencing enterprise data standards and engineering best practices.
  • Partner with CIO leadership, IT managers, architects, DBAs, Data Engineers, and BI teams on enterprise initiatives.
  • Evaluate solution designs and recommend architecture improvements aligned with business objectives.
  • Provide technical mentorship and strategic guidance to Data Management teams.

Technologies & Platforms

  • Salesforce Platforms
  • Microsoft Azure & Dynamics
  • StreamSets Data Integration Pipelines
  • AWS S3 Storage Environments
  • Snowflake Data Platform
  • Tableau Analytics Integration
  • Microsoft SQL Server, * Position is primarily remote with mandatory Day 1 onsite reporting in Columbus, OH.
  • Interviews will be conducted via Microsoft Teams.
  • Long-term enterprise data modernization initiative supporting critical state systems.

Requirements

Salesforce Platforms 5+ Years Microsoft Environments (Azure & Dynamics) 5+ Years Apex, Lightning Web Components, Salesforce Flow, Validation Rules 5+ Years Snowflake Data Platform 5+ Years Tableau Analytics Integration 5+ Years Data Integration, Data Cleansing & Data Modeling 5+ Years Enterprise Data Architecture Required AWS S3 & Cloud Data Environments Preferred Preferred Qualifications

  • Experience with enterprise data governance and architecture frameworks.
  • Strong understanding of scalable cloud-based data platforms.
  • Experience designing enterprise analytics and integration solutions.
  • Excellent collaboration and stakeholder communication skills.

About the company

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