VP, Data Engineering

  • Posted 18 hours ago | Updated 18 hours ago

Overview

On Site
Full Time

Skills

Financial Services
Insurance
Data Modeling
ELT
Extract
Transform
Load
Performance Tuning
Cloud Computing
Data Quality
Data Profiling
Data Engineering
Product Development
FOCUS
Scalability
Collaboration
Analytics
Decision-making
Attention To Detail
Writing
Supervision
Problem Solving
Conflict Resolution
Critical Thinking
Microsoft Office
Microsoft Excel
Microsoft Outlook
Business Analytics
Database
Data Warehouse
Reporting
Data Science
JIRA
Microsoft Azure
DevOps
GitHub
Development Management
Snow Flake Schema
Talend
Python
SQL
Mentorship
Banking
Finance
Microsoft SQL Server
Oracle Linux
Management
Law

Job Details

Why Bank OZK

Founded on a legacy of more than 120 years in banking, Bank OZK is much more than just a company. We're nationally recognized as an industry leader in financial services. That means we combine exceptional service with innovative technologies to deliver smart solutions to our clients across the country. We're investing in small businesses, fueling economies in local communities and changing skylines in the largest cities across America. Here, we're not simply filling roles. We're fostering even greater careers.

The foundation for a great career starts with an exceptional team and a comprehensive benefits package. We believe in providing our dedicated team members with the best resources to support their physical, mental and financial wellbeing, including generous PTO, 401(k) matching, health, dental, vision (and pet!) insurance as well as special perks and discounts. Learn more about Bank OZK benefits.

Job Purpose & Scope

Responsible for leading, developing and maintaining data solutions to support Bank Data Strategy. Collaborates with business leaders and Data Engineering teams for timely and reliable delivery of data solutions. Develop technological specifications from defined or identified business requirements.

Knowledge, Skills & Abilities

  1. Comprehensive knowledge of data modeling (Star/Snowflake schemas), ELT/ETL patterns, and performance optimization in cloud data warehouses.
  2. Comprehensive knowledge of data quality control, error handling, and data profiling practices.
  3. Comprehensive knowledge of the Data Engineering Product Development lifecycle.
  4. Ability to manage and mentor junior staff members.
  5. Ability to build scalable, modular, and testable data pipelines using Snowflake, dbt, and Python.
  6. Ability to develop data products with a focus on reusability, scalability, and user-centric design.
  7. Ability to collaborate cross-functionally, especially with analytics, business, and IT teams.
  8. Ability to exercise discretion and sound judgment in decision making.
  9. Ability to manage expectations, prioritize work, and negotiate trade-offs
  10. Ability to meet stringent deadlines with accuracy and maintain attention to detail.
  11. Ability to manage multiple priorities and demonstrate flexibility in a continually changing environment.
  12. Ability to troubleshoot issues on standard, sensitive, and/or complex accounts.
  13. Ability to communicate effectively both verbally and in writing and interact with all levels of employees.
  14. Ability to work independently without close supervision.
  15. Strong problem-solving, organizational, critical thinking, and time management skills.
  16. Skill in using computer and Microsoft Office, including Word, Excel, and Outlook.

Basic Qualifications

Basic Qualifications:
  1. Bachelor's degree in business, computer or data science, data or business analytics, or other job-related fields, or commensurate work experience, required. Relevant master's degree preferred.
  2. 5+ years of experience in database development, data warehouse development, reporting, and/or data science experience.
  3. 2+ years of experience in Jira, Azure DevOps, GitHub or similar code development management environment, required.
  4. 2+ years of experience with Snowflake, Talend, Python, SQL and other modern data tech stack required.
  5. 1+ year of experience managing, leading, or mentoring others preferred. Experience leading data and engineering teams preferred.


Preferred Qualifications:
  1. Experience working in banking or finance environments preferred.
  2. Data development certification such as Snow Pro Certification or Microsoft SQL Server certification preferred.


Job Expectations

Job Expectations: Operate customary equipment and technology used in a business environment, with or without accommodation.

Note: This description is not an exhaustive list of all job functions, duties, skills, and job standards required. Other job functions, duties, skills, and standards may be added. Management reserves the right to add or change the job requirements at any time.

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EEO Statement

Bank OZK is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by federal, state, and local law. Member FDIC.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.