Data Architect

What You’ll Do

• Design and implement modern enterprise data architectures that support scalable, secure, and cost-effective data platforms and solutions
• Establish future-state data architecture blueprints aligned to enterprise business goals and strategic data initiatives
• Lead architecture efforts for data products, data lakes, data warehouses, and cloud-native environments
• Develop conceptual and logical data models that promote consistency, standardization, and reusability across the organization
• Drive enterprise data integration strategies across multiple systems and platforms
• Partner with engineering and DevOps teams to implement scalable data storage and management solutions
• Build and maintain architecture documentation including data models, lineage, standards, and data flow diagrams
• Establish and enforce data governance, lineage, security, and quality management standards
• Evaluate and recommend modern technologies and tools that improve data engineering and analytics capabilities
• Lead proof-of-concept initiatives and MVP development efforts related to AI, GenAI, and Agentic AI applications within data management
• Collaborate closely with AI and innovation teams to identify opportunities for AI-enabled data modernization
• Assess and modernize legacy systems while driving ongoing technology debt reduction initiatives
• Serve as a technical advisor to business and technology stakeholders on enterprise data strategy and architecture best practices
• Lead and influence cross-functional teams within a matrixed organization to deliver enterprise data initiatives
• Mentor junior data engineers and architects, fostering technical growth and architectural best practices across the team

What You’ll Bring

• Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent professional experience
• Strong experience in data architecture, data modeling, data warehousing, and enterprise data platform design
• Deep domain expertise within insurance and financial services environments
• Expertise with Microsoft data technologies including Fabric, Azure, Data Factory, Power BI, and Copilot
• Strong hands-on experience with Databricks, Snowflake, and modern cloud-based data platforms
• Experience building scalable enterprise data products and modern data ecosystems
• Practical experience building MVPs leveraging Agentic AI and GenAI technologies for data management and operational efficiencies
• Strong understanding of modern data architecture concepts including cloud-native solutions, real-time data distribution, metadata management, and enterprise governance
• Advanced proficiency with SQL, NoSQL, and enterprise data modeling tools
• Experience developing and implementing enterprise data governance and data quality frameworks
• Ability to assess both traditional and modern data architecture approaches and recommend scalable solutions
• Strong communication, presentation, and stakeholder engagement skills with the ability to influence technical and executive audiences
• Proven ability to lead complex cross-functional initiatives and mentor technical teams
• Relevant certifications such as Azure Solutions Architect, Fabric certifications, or Certified Data Management Professional are a plus