Enterprise Data & Analytics Architect

What You'll Do The Senior Enterprise Data & Analytics Architect designs, governs, and evolves the enterprise data and 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. 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 Define and evolve enterprise data and analytics architecture, standards, and roadmaps. Design scalable analytics solutions supporting BI, AI, and self-service analytics. Establish best practices for data modeling, semantic layers, and governed metrics. Drive a data-as-a-product approach to improve data discoverability, quality, and reuse. Architect and optimize modern cloud data platforms, including Snowflake and related analytics technologies. Ensure solutions meet enterprise governance, security, privacy, and compliance standards. Partner with business, engineering, analytics, and architecture teams to align data strategy with business goals. Provide architectural leadership, design governance, and mentorship on analytics best practices. Who You Are 8+ years of experience in data & analytics, enterprise architecture, or analytics engineering. 3+ years of experience with modern cloud data platforms such as Databricks, Snowflake, or similar technologies. Strong expertise in data modeling, SQL, ETL/ELT, and analytics architecture. Experience designing scalable analytics solutions on AWS or other cloud platforms. Knowledge of data warehousing, lakehouse architectures, data governance, and performance optimization. Ability to translate business needs into enterprise data and analytics solutions. Strong communication and stakeholder management skills. Financial services experience and architecture/cloud certifications are a plus. 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 The following salary ranges reflect market-specific compensation for this position across multiple job levels. Candidates will be evaluated to determine the appropriate job level based on their skills and experience. 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 offers in-office, hybrid (blending at least three office days in a typical workweek), and remote work arrangements (only if residing more than 30 miles from Des Moines, IA, Raleigh, NC, or Charlotte, NC). You’ll work with your leader to figure out which option may align best based on several factors. Job Level We’ll 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're 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’ll 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 more 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 8/26/2026 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 Remote Hashtag #LI-Remote LinkedIn Hashtag #LI-EW1The Senior Enterprise Data & Analytics Architect designs, governs, and evolves the enterprise data and 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. 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 Define and evolve enterprise data and analytics architecture, standards, and roadmaps. Design scalable analytics solutions supporting BI, AI, and self-service analytics. Establish best practices for data modeling, semantic layers, and governed metrics. Drive a data-as-a-product approach to improve data discoverability, quality, and reuse. Architect and optimize modern cloud data platforms, including Snowflake and related analytics technologies. Ensure solutions meet enterprise governance, security, privacy, and compliance standards. Partner with business, engineering, analytics, and architecture teams to align data strategy with business goals. Provide architectural leadership, design governance, and mentorship on analytics best practices.8+ years of experience in data & analytics, enterprise architecture, or analytics engineering. 3+ years of experience with modern cloud data platforms such as Databricks, Snowflake, or similar technologies. Strong expertise in data modeling, SQL, ETL/ELT, and analytics architecture. Experience designing scalable analytics solutions on AWS or other cloud platforms. Knowledge of data warehousing, lakehouse architectures, data governance, and performance optimization. Ability to translate business needs into enterprise data and analytics solutions. Strong communication and stakeholder management skills. Financial services experience and architecture/cloud certifications are a plus.