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Marvin · 2 weeks ago

Sr. Data Platform Architect

Eagan, MN

Full-time

Onsite

Senior Level, Lead/Staff

$125K/yr - $145K/yr

10+ years exp

Marvin is a family-owned and -led window and door company committed to creating better ways of living. As a Senior Data Platform Architect, you will design and evolve scalable data architecture, guide data solutions, and collaborate with various stakeholders to align data architecture with business strategy.

Real Estate

Hiring Manager

Charlie Mosman

Responsibilities

Architect Scalable Data Solutions Design and evolve enterprise-grade data architecture that supports analytics, reporting, and operational use cases across Marvin’s business units, ensuring scalability, performance, and security

Lead Platform Technical Strategy and Roadmap Define and drive the strategic technical direction of Marvin’s Enterprise Data Platform, aligning architecture decisions with business priorities, ERP modernization, and the long-term data vision

Enable Advanced Data Capabilities Guide the development of data models, data processing patterns, and platform capabilities—including real-time data flows, cloud-native services, and master data management (MDM)—to support advanced analytics and AI/ML initiatives

Collaborate Across Teams Partner with data engineers, data scientists, IT analysts, and business stakeholders to ensure cohesive data architecture and seamless integration with enterprise systems, including ERP and other core platforms

Champion Governance and Best Practices Promote data governance, quality, and security standards across the organization, while introducing modern architecture practices such as data mesh, domain-oriented design, and metadata-driven development

Qualification

Data ArchitectureCloud Data WarehousingData ModelingData GovernanceData Processing PatternsMaster Data ManagementCloud PlatformsCross-Functional CollaborationCommunicationStrategic Mindset

Required

Extensive expertise in database design, data modeling, and data engineering, with a strong understanding of relational and dimensional modeling techniques

Deep familiarity with modern data architecture concepts, including Data Hub, Data Lakehouse, Data Fabric, and Data Mesh

Proven experience with cloud data warehouses, particularly Snowflake and DBT, supporting scalable data architecture, storage, and analytics

Demonstrated ability to lead and guide analytics initiatives, from concept through implementation, ensuring alignment with business goals

Proficiency with data modeling tools, such as Erwin, and a strong understanding of metadata management

Hands-on experience with cloud platforms, especially Azure and Snowflake, including compute, storage, and security services

Experience with data ingestion and transformation tools, such as Fivetran, and familiarity with ELT/ETL best practices

Strong cross-functional collaboration skills, with a track record of defining and promoting data standards, guidelines, and architectural best practices

Strategic mindset with the ability to anticipate business needs, designing data solutions that scale with organizational growth and complexity

Ability to align data architecture with complex business operations, ensuring solutions support enterprise systems, including ERP platforms

Excellent communication and storytelling skills, with the ability to convey complex technical concepts to both technical and non-technical audiences

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field required; Master's degree preferred

10+ years of experience in data architecture, data engineering, or enterprise data platform development, with a proven track record of designing and implementing scalable data solutions

5+ years of experience working with cloud data platforms (e.g., Snowflake, Azure), including hands-on experience with data modeling, data pipelines, and analytics enablement

Experience supporting enterprise-wide data initiatives, including ERP integration, master data management (MDM), and advanced analytics

Demonstrated success in leading cross-functional teams, influencing architectural decisions, and aligning data strategies with business goals