Senior Data Engineer - Platform & Orchestration

Arvest Bank is hiring a Senior Data Engineer to design, develop, and implement data platform solutions that support analytics products. The role focuses on database design, data quality and integration, platform standards, collaboration with product and architecture teams, and mentoring others.

Responsibilities:

• Design database solutions that meet business requirements and prove robust, stable, scalable, and adaptable over time
• Lead root cause analysis, troubleshoot complex problems, and perform impact analysis of proposed changes
• Collaborate with key stakeholders and various Product teams to advise on the most appropriate database technologies and provide recommendations as needed
• Inform the development and growth of data environments, implementing solutions that are easily automated and allow for quick failure identification
• Standardize new design approaches that can be adopted across teams and evaluate the feasibility of solutions
• Work closely with Solution and Software Architects to understand and influence the current and future state of technology
• Identify and understand anomalies and data quality issues and address quality and integrity issues
• Take an active role in cross-product teams while promoting the re-use of data across the Company
• Continuously perform code reviews by testing own work and reviewing tests performed by more junior team members
• 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

Requirements:

• Bachelor's Degree in Information Systems, Computer Science, Business Intelligence, related field, or equivalent related work or military experience
• 5 years of experience in technical design and development
• 2 years of experience with data methodologies and advanced data structures
• SQL
• Building complex data sets
• Feature engineering
• Data science lifecycle
• Enterprise ETL tools (DataFlow, Dataproc, Data Fusion, DataStage, Informatica, or similar)
• Structured and unstructured data sources
• Fluency in Python, Java, Kafka, and C#
• Pipeline Orchestration of data workloads (Apache Airflow or Cloud Composer)
• Standardization, security, governance, and compliance
• Docker/Containerized applications
• Relevant military experience is considered for veterans and transitioning service members
• Cloud Data Engineering (GCP, AWS, or Azure) - Strongly Preferred
• ServiceNow IT Service Management (ITSM) or IT Operations Management (ITOM) – Strongly Preferred
• DCAM (Data Management Capability Assessment Model)
• CDMC (Cloud Data Management Capabilities)
• CIMP (Certified Information Management Professional)
• COBIT 2019 Certification
• Lean Six Sigma
• DBT preferred
• Data Visualization tools (Tableau, Looker, or PowerBI)
• Cloud Technologies
• Prior experience in banking or financial services