Data Architect

Key Responsibilities

• Define and maintain the enterprise data architecture vision and multi-year roadmap
• Establish architectural direction for data platforms, integrations, analytics, and BI solutions
• Align data architecture strategy with business priorities, regulatory requirements, and enterprise technology direction
• Serve as a strategic partner to Product Owners and ART leadership to ensure architectural alignment with delivery plans
• Stay current with emerging data technologies, trends, and best practices
• Translate architectural strategy into executable initiatives in partnership with Data Platform, Analytics, and Insights leaders
• Participate in PI planning, backlog refinement, and architectural runway development
• Review and guide solution designs to ensure adherence to architectural standards and principles
• Identify and manage architectural dependencies and cross-team impacts within the ART

Standards, Governance & Quality

• Define and maintain data architecture standards, patterns, and reference architectures
• Ensure solutions meet confidentiality, integrity, and availability requirements for sensitive data
• Collaborate with governance, security, and compliance teams to ensure architectural alignment
• Promote consistency, reuse, and long-term sustainability of data solutions across the enterprise

Collaboration & Influence

• Serve as a trusted advisor to business and technology stakeholders
• Communicate architectural decisions, tradeoffs, and impacts in a clear and accessible manner
• Mentor teams on architectural best practices without direct people-management responsibilities
• Drive continuous improvement through learning, feedback, and architectural evolution

Qualifications

• Bachelor’s degree required; Degree in computer science, math, economics, statistics, business, data engineering, information services or related field preferred
• 10+ years of experience in data engineering, data architecture, quantitative analytics, or a similar technical role is required
• 3+ years of experience using Databricks or similar platform is required
• 5+ years of experience in a regulated industry (e.g., banking, healthcare) is preferred
• Strong expertise in data modeling (conceptual, logical, physical, dimensional)
• Deep understanding of modern data architectures, including cloud platforms, lakehouse patterns, streaming, and integrations
• Familiarity with data governance, security, privacy, and regulatory frameworks
• Experience working in Agile or SAFe environments