Note: The job is a remote job and is open to candidates in USA. Arvest Bank is seeking a Principal Data Engineer to lead the design and development of enterprise data platform solutions. The role involves mentoring data engineers, overseeing data architecture, and ensuring high-quality data solutions that meet business requirements.
Responsibilities
- Serve as an SME while mentoring and providing solution oversight through the development of resilient data pipeline solutions
- Lead cross-team root cause analysis, troubleshoot highly complex problems and perform impact analysis of proposed changes
- Ensure quality of work delivered by the team meets standards for reusability, security, and performance and that data is available, usable, and fit for purpose
- Streamline the development and growth of data environments while proactively seeking opportunities for improvement
- Collaborate across the Enterprise to design solutions that meet business requirements and prove to be robust, stable, scalable, and adaptable over time
- Build solutions that are easily automated and allow for quick identification of failures
- Evaluate and optimize new integration patterns, frameworks, and third-party solutions by conducting research and developing proof-of-concept models. Influence the current and future state of technology by advocating technical difficulties experienced by the team
- Be an active leader in cross-product teams while promoting the re-use of data across the Company
- Lead code reviews and set code quality standards
- Understand and comply with bank policy, laws, regulations, and the bank's BSA/AML Program, as applicable to your job duties. This includes but is not limited to; complete compliance training and adhere to internal procedures and controls; report any known violations of compliance policy, laws, or regulations and report any suspicious customer and/or account activity
Skills
- Bachelor's Degree in Information Systems, Computer Science, Business Intelligence, or related field, or equivalent related work or military experience
- 8 years of experience in designing and developing data queries for ETL data movement, including merging large data sets for analysis
- 2 years of experience in designing, building, managing, and optimizing data environments for advanced analytics and data science
- Advanced knowledge in SQL (DBT required)
- Building complex data sets
- Feature engineering
- Data science lifecycle
- Enterprise ETL tools (DataFlow, Dataproc, Data Fusion, DataStage, Informatica, or similar)
- Fluency in Python, Java, Kafka, and C#
- Pipeline Orchestration of data workloads (Apache Airflow or Cloud Composer)
- Standardization, security, governance, and compliance
- MUST HAVE: Applied Agentic AI: Systems, Design & Impact
- MUST HAVE: GCP certification (could include Associate Cloud Engineer (ACE), or a specific path within the Professional Google Cloud offerings)
- CDMC: Certification: Cloud Data Management Capabilities (comprehensive best practices framework for cloud, multi-cloud, and hybrid-cloud environments)
- Lean Six Sigma
- COBIT 2019
- DCAM: Certification: Data Management Capability Assessment Model (Best practice for data management & analytics)
- CIMP: Certified Information Management Professional
- Cloud Technologies
- Data Visualization tools (Tableau, Looker, or PowerBI)
- Prior banking/financial services experience
- Certifications: AWS Certified Big Data – Specialty, Google Cloud Professional Data Engineer
Benefits
- Arvest offers a comprehensive suite of benefits, including a full range of health and life, financial, and wellness benefits.
- We offer competitive compensation, benefits packages, and significant professional growth.
- Along with an excellent benefits package, our associates are engaged, rewarded for performance, and encouraged to grow professionally and personally.
Company Overview