Data & Analytics Enterprise Architect

Job description

What You\'ll Do

The Senior Enterprise Data & Analytics Architect designs, governs, and evolves the enterprise analytics architecture to enable trusted, scalable, and self-service decisioning. We are looking for a Senior Enterprise Architect II or Assistant Director- Enterprise Architect for this role. 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. You will lead warehouse/Lakehouse architecture, data products, semantic layers, and metrics governance—partnering with engineering, BI, and data science to standardize patterns, develop best practices, architecture decisions and accelerate delivery. 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.

Key Responsibilities

Analytics & Data Architecture

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

Data Modeling & Semantic Layer

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

Data Products & Marketplace Enablement

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

Modern Data Platform Architecture (Snowflake)

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

Governance, Quality & Security

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

Collaboration & Leadership

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

Who You Are

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.

Familiar and understand 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 Enterprise Architecture domains

Demonstrated commitment to continuous learning and growth within architecture field (i.e., training, or architectural certifications such as TOGAF or Certified Business Architect)

Experience with an Agile software development lifecycle and where Enterprise Architecture will provide value across the lifecycle.

Modern Data Stack (Required)

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

Core Analytics & Data Skills

Advanced analytical and dimensional data modeling expertise

Strong SQL and query optimization skills

Hands on experience of 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 method, process and toolings

Cloud & Architecture

Experience on an AWS cloud platform (or equivalent)

Familiarity with:

Cloud native analytics services

Metadata management and data catalogs

Data observability and quality tooling

Business & Analytical Acumen

Ability to translate business requirements into scalable analytics designs

Strong understanding of: KPIs

Management and operational reporting

Excellent communication, presentation, and stakeholder engagement skills

Preferred Qualifications

Industry experience in BFSI preferable

Architecture or cloud certifications

Salary Range Information

Salary ranges below reflect targeted base salaries. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.

Salary Range (Non-Exempt expressed as hourly; Exempt expressed as yearly)

$ - $ / year

Salary Details

Sr. Enterprise Architect II: $130,000 - $152,000 / year

Assistant Director- Enterprise Architect: $145,000 - $180,000 / year

Time Off Program

Flexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Employees don't accrue a bank of time off under FTO and there is no set number of days provided.

Pension Eligible

Yes

Work Environment

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

Job Level

We will consider talent at the Sr. Enterprise Architect II and Assistant Director level with the right experience and skills.

Work Authorization/Sponsorship

At this time, we are not considering candidates that need any type of immigration sponsorship now or in the future or those needing work authorization for this role. (This includes, but is not limited to students on F1-OPT, F1-CPT, J-1, etc.)

Nonimmigrant Workers and Green Card for Employment-Based Immigrants

Investment Code of Ethics

For Principal Global Investors positions, you will need to follow an Investment Code of Ethics related to personal and business conduct as well as personal trading activities for you and members of your household. These same requirements may also apply to other positions across the organization.

Experience Principal

At Principal, we value connecting on both a personal and professional level. Together, we\'re imagining a purpose-led future for financial services - and that starts with you. Our success depends on the unique experiences, backgrounds, and talents of our employees. And we support our employees the same way we support our customers: with comprehensive, competitive benefit offerings crafted to protect their physical, financial, and social well-being. Check out our careers site to learn more about our purpose, values and benefits.

Principal is an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Posting Window

We will accept applications for 3 full days following the Original Posting Date, after which the posting may remain open or be removed based upon applications received. If we choose to post the job again, we will accept additional applications for at least 1 full day following the Most Recently Posted Date. Please submit applications in a timely manner as there is no guarantee the posting will be available beyond the applicable deadline.

Original Posting Date

8/17/2026

Most Recently Posted Date

8/18/2026

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Who can apply

Review the original listing for work authorization, qualifications and employer requirements.