Sr. Data Platform Architect

Description

• 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.
• 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.

Requirements

• Experience supporting enterprise-wide data initiatives, including ERP integration, master data management (MDM), and advanced analytics.
• Strategic mindset with the ability to anticipate business needs, designing data solutions that scale with organizational growth and complexity.
• Proficiency with data modeling tools, such as Erwin (preferred), and a strong understanding of metadata management.
• 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.
• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field required; Master’s degree preferred.
• Experience with data ingestion and transformation tools, such as Fivetran (preferred), and familiarity with ELT/ETL best practices.
• Proven experience with cloud data warehouses, particularly Snowflake and DBT, supporting scalable data architecture, storage, and analytics.
• 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.
• Ability to align data architecture with complex business operations, ensuring solutions support enterprise systems, including ERP platforms.
• Demonstrated ability to lead and guide analytics initiatives, from concept through implementation, ensuring alignment with business goals.
• Excellent communication and storytelling skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
• Deep familiarity with modern data architecture concepts, including Data Hub, Data Lakehouse, Data Fabric, and Data Mesh.
• Demonstrated success in leading cross-functional teams, influencing architectural decisions, and aligning data strategies with business goals.
• Strong cross-functional collaboration skills, with a track record of defining and promoting data standards, guidelines, and architectural best practices.
• Extensive expertise in database design, data modeling, and data engineering, with a strong understanding of relational and dimensional modeling techniques.
• Hands-on experience with cloud platforms, especially Azure and Snowflake, including compute, storage, and security services.

Benefits

• $300 annual wellbeing account to spend on what helps you feel happy + healthy
• Better Living Day! (a paid day off to go have some fun)
• Brighter Days Fund – financial support from your colleagues and the Marvin family during personal hardships
• Annual profit sharing – recognizing everyone’s contribution to Marvin’s success

Training + Development

Interview process

Visa Sponsorship

Security clearance