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 ***
#J-18808-Ljbffr