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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Engineer - Logic and Metadata Architecture - **Company:** Arvest Bank - **Location:** United States - **Experience:** Experienced - **Salary:** $129,050.0 - $161,315.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Big Data, C Sharp (Programming Language), Software as a Service, Cloud Computing, Cloud Database, Control Objectives for Information and Related Technology (COBIT), Code Review, Information Systems, Data Architecture, Information Engineering, Data Fusion, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Visualization, IBM InfoSphere DataStage, Data Flow Control, Information Management, Python (Programming Language), Metadata, Meta-Data Management, Reference Data, Power BI, Cloudera, SQL Databases, Systems Integration, Tableau (Software), Enterprise Data Management, Google Cloud, Feature Engineering, Informatica Powercenter, Informatica Cloud, Data Strategy, Information Technology, Data Lineage, Apache Kafka, Data Management, Virtual Agents, Api Gateway, Looker Analytics, Data Pipelines - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8fd2a8cff2bced3a ## About the Role Do you have experience in SQL?, Do you have a Bachelor's degree?, * MUST HAVE: Certified Informatica Data Management Cloud: Foundational Series: MDM SaaS, Cloud Data Governance, Data Engineering * MUST HAVE: DCAM: Data Management Capability Assessment Model Certification * Applied Agentic AI: Systems, Design & Impact * Cloud Data Integration: Designing cloud mappings, managing API gateways, and using Informatica Cloud Mapping Designer. * Cloud Data Quality: Build data quality rules, profiles, and processes for cloud data migrations and integration projects. * Cloud Data Governance and Catalog (CDGC) * Lean Six Sigma * COBIT 2019 certification * CDMC: Certification: Cloud Data Management Capabilities * CIMP: Certified Information Management Professional Position is Monday through Friday from 8 am to 5 pm Central with the ability to work additional hours as project needs demand., * 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 the following: o SQL (DBT required) o Building complex data sets o Feature engineering o Data science lifecycle o Enterprise ETL tools (DataFlow, Dataproc, Data Fusion, DataStage, Informatica, or similar) o Fluency in Python, Java, Kafka, and C# o Pipeline Orchestration of data workloads (Apache Airflow or Cloud Composer) o Standardization, security, governance, and compliance * Relevant military experience is considered for veterans and transitioning service members. Preferred: * 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. ## Description * Integrating holistic data management strategies, including master/reference data, metadata management, and data lineage. * Hands - on experience with Enterprise Data Catalogs (EDC), ETL/ELT (CMI) pipelines, Cloud Data Integration, and AI - driven metadata crawlers. * Ability to design Semantic Schema Network Models featuring complex, many-to-many relationships. * Deliver data solutions that directly support Counterparty validation, Legal Entity Identifiers (LEI), Customer 360 (C360), and Householding initiatives., A Principal Data Engineer at Arvest leads the design and development of enterprise data platform solutions. They are subject matter experts (SMEs) and demonstrate broad solution knowledge across the enterprise. Principal Data Engineers oversee the data architecture plan and are responsible for the success of the data platform. They mentor data engineers of all levels through technical and professional development, lead highly collaborative agile teams, advise on best practices, and display thought leadership. What You'll Do at Arvest: (Other duties may be assigned.) * 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)