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.

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