Senior Data Engineer (AWS, FiveTran, dbt, Snowflake)

Req ID: 78001 

Location: Richardson -RCHRD 

Areas of Interest: Data 

Pay Transparency Salary Range: Not Available 

Application Deadline: 06/30/2026

BOK Financial Corporation Group includes BOKF, NA; BOK Financial Securities, Inc. and BOK Financial Private Wealth, Inc. BOKF, NA operates TransFund and Cavanal Hill Investment Management, Inc. BOKF, NA operates banking divisions: Bank of Albuquerque; Bank of Oklahoma; Bank of Texas and BOK Financial®.

Bonus Type

Discretionary

Summary

If you’re in search of a position that blends a fervor for technological breakthroughs, a chance for career progression, and a collaborative work environment, then you’ve arrived at the right destination. We have an enticing role ready for a tech-savvy individual like you! At BOK Financial, we’re fostering a workspace where extraordinary talents can display their skills, aim for the highest standards, and contribute to top-tier projects.

Job Description

The Data Solutions Engineer IV works in close collaboration to design, develop, implement, and support various types of data solutions across all lines of BOKF Financial.  This position requires close interaction, influencing and collaboration with other engineers, architects, analytics partners, vendor partners and functional leaders.   The Data Solutions Engineer IV defines enterprise-wide best practices, methodologies, governance, and standards and serves as a data solutions subject matter expert. This position mentors and coaches lower-level Data Solutions Engineers and leads meetings as needed.

Team Culture

BOK Financial is a place where your passion for technological innovation is valued and career development is encouraged. The company fosters an environment where unique talents can thrive, achieve high standards, and contribute to prestigious projects. It’s an ideal platform to advance your IT career within a vibrant and supportive culture.

How You'll Spend Your Time

• Lead the design, implementation, and governance of enterprise ETL / ELT pipelines, leveraging Fivetran for managed ingestion and CDC, Snowflake as the central cloud data platform, and dbt for transformation, modeling, and analytics engineering.
• Architect and review end‑to‑end data flows from source systems to curated, consumption‑ready datasets, including:
  • • • Source‑aligned raw ingestion
      • Conformed and reusable transformation layers
      • Business‑ready data products optimized for analytics and reporting
• Establish and enforce dbt engineering standards, including:
  
  • • • Development of modular dbt models (staging, intermediate, mart layers)
      • Creation and reuse of dbt macros for standardization, automation, and consistency
      • Implementation of dbt tests, documentation, and lineage to ensure data quality and transparency
      • Version‑controlled dbt projects aligned to enterprise release processes
• Design and optimize Snowflake data architecture, including:
  • • • Warehouse sizing and workload isolation strategies
      • Partitioning, clustering, and performance tuning
      • Secure data sharing and access control models
      • Cost optimization through usage patterns and resource governance
• Define and drive Python, PySpark, and SQL standards for data engineering workloads, supporting advanced transformations, large‑scale processing, and streaming or hybrid use cases where appropriate.
• Implement Infrastructure as Code (IaC) using Terraform to provision and manage Snowflake objects, cloud infrastructure, and supporting platform components in a repeatable and auditable manner.
• Design and integrate CI/CD pipelines for data engineering assets, including:
  • • • Automated deployment of dbt models, macros, and tests
      • Environment promotion (dev → test → prod)
      • Code quality checks, linting, and automated validation
      • Controlled and traceable releases aligned with enterprise SDLC practices