Data Architecture & Insights Lead

At Stearns Bank, we’re helping people, entrepreneurs, small businesses, and local communities nationwide reach their full financial potential. Sound like something you want to be a part of? If so, we’re currently looking for a Data Architecture & Insights Lead. This is a Connected Mobile Work Environment.

Come see how we’re doing business unusual and charting our own path to reimagine a more inclusive financial services and banking ecosystem for all.

Stearns Bank understands and respects that everyone is managing unique career, family, and wellness needs. That’s why we offer industry-leading benefits to employees to help them live healthy lives and bring their full selves to work every day. Benefits may vary for part‑time positions. Some of those benefits include:

• Employee Stock Ownership Plan & 401k Plan
• Healthcare (Medical, Dental, Vision, Telehealth, Life insurance)
• 12-week Paid Medical Leave
• Paid Parental Leave: 21-weeks Primary Care Parent, 14-weeks Secondary Care Parent
• $5,000 Family Care Reimbursement:
  Childcare, Elder Care, Student Loan Debt, Pet expenses, down payment assistance
• PTO from 13 to 23 days depending on tenure. Cashout and Carryover options.
• 10 Days Sick Time
• 11 Paid Holidays
• 2 Days Self Allowance Time
  • Tuition Assistance

For this position, we anticipate an annual range between $150,000 - $180,000.

Final employment offers will be dependent upon the selected candidate’s relevant qualifications and experience.

Stearns Bank is seeking a Data Architecture & Insights Lead to own the design, build, and evolution of the enterprise data platform and to unlock business value from data beyond traditional reporting.

This role is responsible for the end-to-end data architecture and data flows across the organization, leveraging Snowflake, Fivetran, dbt, and Power BI, while also serving as the lead for data analysis, insight generation, and decision enablement. The role will move the organization from reporting what happened to understanding why it happened and what actions to take.

This is a senior, hands‑on role that combines technical architecture, analytics engineering, and business‑facing insights within a regulated financial services environment.

• Own the enterprise data platform architecture, including source-to-target data flows, integration patterns, and analytical models.
• Design, build, and manage the Snowflake-based enterprise data repository.
• Define and enforce data architecture standards and best practices.
• Maintain current and future-state data architecture documentation.

Data Ingestion, Transformation & Modeling:

• Lead ingestion of enterprise data using Fivetran.
• Design and maintain dbt transformation layers.
• Ensure data quality, lineage, validation, and consistency.
• Optimize pipelines for performance and scalability.

Insights, Analytics & Decision Enablement:

• Analyze enterprise data to identify trends, drivers, risks, and opportunities.
• Develop analytical models that support decision-making.
• Partner with business leaders to define decision-oriented KPIs.
• Support scenario and trend analysis.
• Design Power BI dashboards and executive scorecards.
• Enable self‑service analytics with governance.

Data Governance & Security:

• Implement data governance, stewardship, and documentation.
• Partner with Risk, Compliance, and Information Security.
• Enforce role-based access and auditability.

Advanced Analytics & Future Readiness:

• Prepare datasets for advanced analytics and AI use cases.
• Act as the enterprise data authority.
• Mentor team members.

• Occasionally lift and/or move up to 10 lbs.
• Literacy in English.
• Ability to sit for extended periods of time, twist, bend, sit, walk use hands to twist, handle or feel objects, tools, or controls, such as computer mouse, computer keyboard, calculator, stapler, telephone, staple puller, etc., reach with hands and arms, balance, stoop, kneel, talk, or hear.
• Specific vision abilities required by the job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus.

• 8+ years in data architecture, engineering, or analytics.
• Hands‑on experience with Snowflake, Fivetran, dbt, SQL, and Power BI.
• Exp…