About this opportunity
Charter Solutions lists this Data Architect opportunity in minneapolis, Minnesota. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Charter Solutions is hiring a Data Architect who is responsible for defining and evolving the organization's enterprise data architecture, ensuring data platforms, models, and governance practices are scalable, reliable, and aligned with long-term business objectives. This role serves as a strategic partner to IT and business leadership, driving the design of an integrated data ecosystem that supports enterprise reporting, self‑service analytics, data governance, and future AI/ML initiatives. The ideal candidate combines strong architectural expertise with hands‑on technical capabilities and a collaborative approach to establishing data standards across the organization.
Key Responsibilities
Develop and maintain enterprise data architecture standards, principles, and reference frameworks.
Design scalable Microsoft Fabric solutions, including Lakehouse, Data Warehouse, semantic models, and reporting architectures.
Establish and enforce best practices for dimensional modeling, semantic modeling, and data integration.
Define development, testing, and production environment strategies to ensure consistent and reliable solution delivery.
Data Governance & Solution Enablement
Provide architectural oversight for data initiatives, ensuring alignment with enterprise standards and long-term strategy.
Collaborate with Data Platform Engineering teams to establish reusable patterns, pipelines, and platform capabilities.
Evaluate architectural tradeoffs and provide guidance that balances business needs, scalability, maintainability, and performance.
Promote the adoption of shared datasets, semantic models, and standardized metrics across the enterprise.
Data Integration & Enterprise Strategy
Design and document enterprise data flows, lineage, ownership, and integration patterns across multiple systems.
Develop canonical data models that create consistency across platforms such as Salesforce, NetSuite, Brightree, and other enterprise applications.
Partner with business stakeholders to standardize data definitions, improve data quality, and reduce duplication.
Establish governance frameworks supporting metadata management, security, compliance, and controlled data access.
Leadership & Stakeholder Engagement
Partner with business and technology leaders to translate business requirements into scalable data solutions.
Communicate architectural decisions, risks, and recommendations to both technical and non‑technical audiences.
Mentor team members on data architecture principles, modeling techniques, governance practices, and emerging technologies.
Contribute to the organization's long‑term data strategy and modernization roadmap.
Additional Responsibilities
Participate in enterprise architecture and data strategy initiatives.
Drive continuous improvement of data platforms, processes, and standards.
Perform other duties as assigned.
Qualifications
Required
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, or related field (or equivalent experience).
5+ years of experience in data architecture, enterprise data modeling, or data platform design.
Experience designing and implementing Microsoft Fabric, Azure Data Factory, OneLake, Power BI, or related cloud‑based data solutions.
Strong expertise in dimensional modeling, semantic modeling, and enterprise data architecture.
Proven ability to translate complex technical data structures into business‑focused solutions and insights.
Preferred
Experience integrating and modeling Salesforce data within enterprise analytics platforms.
Familiarity with NetSuite, Brightree, or similar operational systems.
Experience within healthcare, medical device, or other regulated industries.
Consulting or mid‑sized organization experience with both strategic and hands‑on responsibilities.
Strong understanding of enterprise data architecture and cross‑platform data integration.
Experience developing canonical data models and governing enterprise data standards.
Ability to balance immediate business needs with long‑term architectural sustainability.
Strong stakeholder management and influence skills.
Excellent communication skills with the ability to simplify complex technical concepts.
Hands‑on technical aptitude and willingness to contribute when needed.
Experience building data capabilities in evolving or maturing environments.
Collaborative, adaptable, and results‑oriented approach to problem‑solving.
Demonstrated ownership and commitment to delivering scalable, reusable data solutions.
*** No sponsorship or 3rd parties *** Candidates must be local to the Twin Cities to be considered ***
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Worksite address
minneapolis, MN, 55400, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.