Data & Analytics Enterprise Architect

Principal Financial Group

Des Moines (IA)

Hybrid

USD 130,000 - 180,000

Full time

7 days ago
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Job summary

Principal Financial Group is seeking a Senior Enterprise Data & Analytics Architect II or Assistant Director to design, govern, and evolve the enterprise analytics architecture. This role focuses on cloud data platforms, data products, semantic layers, and KPI governance to enable trusted, scalable, self-service decisioning across the organization.

You will lead warehouse/lakehouse architecture, data products, and collaboration with engineering, BI, and data science to standardize patterns and

Qualifications

  • 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).

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.
  • Design analytics solutions optimized for BI reporting and self-service analytics.
  • Own the analytics architecture roadmap (target state, phased migration, and decommission plan).
  • 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, and semantic layers on top of platforms like Databricks/Snowflake.
  • Drive a data-as-a-product approach for analytical datasets with onboarding, versioning, and support processes.

Skills

Modern Data Stack
Databricks
Snowflake
SQL
Data modeling
Semantic layers
Governed metrics

Education

Bachelor's degree or equivalent

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)

$130000 - $180000 / 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


Principal uses artificial intelligence tools to assist in reviewing and evaluating job applications, fraud prevention, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Workforce (U.S.) Privacy Notice for more details on our practices and your data privacy rights.


LinkedIn Hashtag


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