Data & Analytics Enterprise Architect

About the Role

The Senior Enterprise Data & Analytics Architect designs, governs, and evolves the enterprise analytics architecture to enable trusted, scalable, and self-service decisioning. This role translates business outcomes into an actionable analytics architecture across modern cloud data platforms, ensuring data is consistent, governed, high-performing, and AI-ready.

Success in this role is measured by faster time-to-insight, consistent KPI definitions across the enterprise, improved platform performance/cost, and increased reuse of governed data products.

Responsibilities

• Define and maintain the enterprise data and analytics architecture blueprints, vision, principles, and target states.
• Ensure data ecosystem alignment with enterprise architecture strategy, business capabilities, and operating models.
• Collaborate to manage, maintain, and mature the health of data and analytics capabilities for the enterprise.
• Define and maintain the enterprise analytics architecture across modern data platforms including:
  • Analytical data models and marts
  • Semantic and metrics layers
  • Cloud data lake and warehouse solutions
• Design analytics solutions optimized for:
  • BI reporting
  • Self-service analytics
  • Advanced analytics and AI consumption
• Ensure analytics architectures scale with growing data volumes and concurrent users.
• Own the analytics architecture roadmap (target state, phased migration, and decommission plan) aligned to business priorities.
• Define reference architectures, standards, and guardrails; serve as design authority for analytics modeling and consumption patterns.
• Own analytical and dimensional data models for enterprise reporting.
• Design and govern:
  • Conformed dimensions
  • Business metrics and KPIs
  • Semantic layers on top of Databricks / Snowflake
• Enable tool-agnostic analytics consumption across multiple BI platforms.
• Ensure consistency of definitions across dashboards, reports, and AI use cases.
• Drive a data-as-a-product approach for analytical datasets, including product ownership, lifecycle management, and adoption.
• Define analytics data products hosted on Databricks / Snowflake with clear onboarding, versioning, and support processes, including:
  • Clear schemas and contracts
  • Quality thresholds and SLAs
  • Documented usage patterns
• Enable discoverability, trust, and reuse through catalog and marketplace integration.
• Architect analytical solutions on Snowflake including:
  • Data modeling for analytics workloads
  • Performance optimization and cost efficiency
  • Workload separation and concurrency management
• Define best practices for:
  • Delta Lake / Iceberg / analytical table formats
  • Warehouse and cluster sizing strategies
  • Ingestion and transformation patterns
  • Caching and query optimization
• Guide teams on:
  • Snowflake SQL, notebooks, and compute patterns
  • Snowflake virtual warehouses, clustering, and data sharing
• Design analytics architectures that support BI, ML, AI/NLQ, and data science workloads on the same platform.
• Implement analytics-focused governance on cloud data platforms:
  • Row-level and column-level security
  • Dynamic data masking
  • Secure data sharing mechanisms
• Define and monitor analytics data quality rules.
• Ensure compliance with enterprise security, privacy, and regulatory standards.
• Partner with data governance and platform security teams.
• Collaborate closely with:
  • Data engineers
  • Analytics and BI teams
  • Data scientists
  • Enterprise and solution architects
• Provide architectural leadership and design governance.
• Mentor teams on analytics modeling, platform usage, and best practices.

Requirements

• Bachelor's degree or equivalent work experience.
• 8+ years of experience with a multi-business unit global organization.
• 8+ years in data & analytics architecture, analytics engineering, or enterprise analytics roles.
• 3+ years hands-on experience designing on modern cloud data platforms (Databricks, Snowflake, or equivalent).
• Demonstrates skilled level of business and professional breadth of knowledge and Enterprise Architecture expertise.
• Familiarity with connections between Enterprise Architecture domains including Business Architecture, Information/Data Architecture, Software/Application Architecture, Technology/Infrastructure Architecture, and Security Architecture with expertise in one or more domains.
• Demonstrated commitment to continuous learning and growth within architecture field (e.g., training, or architectural certifications such as TOGAF or Certified Business Architect).
• Experience with an Agile software development lifecycle and where Enterprise Architecture provides value across the lifecycle.

Skills

• Hands-on architectural experience with Databricks and/or Snowflake in enterprise environments.
• Strong understanding of:
  • Lakehouse vs warehouse architecture
  • Information catalogs on Snowflake and/or Databricks
  • Compute–storage separation
  • Cost and performance optimization for analytics workloads
• Experience enabling analytics use cases at scale on cloud platforms.
• Advanced analytical and dimensional data modeling expertise.
• Strong SQL and query optimization skills.
• Hands-on experience with various modeling approaches – logical, physical, and dimensional.
• Experience building semantic layers and governed metrics.
• Understanding of ETL, ELT patterns, and analytics pipeline design.
• Agile delivery methods, processes, and tooling.
• Experience on an AWS cloud platform (or equivalent).
• Familiarity with:
  • Cloud-native analytics services
  • Metadata management and data catalogs
  • Data observability and quality tooling
• Ability to translate business requirements into scalable analytics designs.
• Strong understanding of KPIs and management/operational reporting.
• Excellent communication, presentation, and stakeholder engagement skills.

Preferred Qualifications

• Industry experience in BFSI (Banking, Financial Services, and Insurance).
• Architecture or cloud certifications.

Pay

Salary ranges reflect targeted base salaries. Non-sales positions have the opportunity to participate in a bonus program. The following salary ranges reflect market-specific compensation for this position across multiple job levels:

• Sr. Enterprise Architect II: $130,000 - $152,000 / year
• Assistant Director- Enterprise Architect: $145,000 - $180,000 / year

Benefits

• Flexible Time Off (FTO) for salaried (exempt) employees.
• Pension eligible.
• Comprehensive, competitive benefit offerings crafted to protect physical, financial, and social well-being.

Schedule

This role is located at Global Headquarters in Des Moines, IA, with a hybrid work arrangement (blending at least three office days in a typical workweek).