Principal Data Engineer - Data Science Cloud

Principal Data Engineer

We are looking for a Principal Data Science Cloud Engineer. The ideal candidate will possess extensive expertise in Google Cloud Platform (GCP), specifically in the construction and management of GCP-based data lakes.

Key Technical Proficiencies

Required:

Vertex, AI, Python, Jupiter / Virgo, Dataplex

Certifications Desired:

• 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

Position is Monday through Friday from 8 am to 5 pm Central with the ability to work additional hours as project needs demand.

Incumbent should reside within the Arvest 4 State Operational Footprint (AR, KS, MO, OK).

Pay is based on a number of factors including the successful candidate's job-related knowledge and skills, qualifications, and prior experience. Arvest offers a comprehensive suite of benefits, including a full range of health and life, financial, and wellness benefits.

The story of Arvest is one of commitment started by our founders in 1961, with an intense dedication to focusing on our customers. We will always be active and involved members of the communities we serve, and we will always work to put the needs of our customers and associates first as we continue to fulfill our mission – People helping people find financial solutions for life.

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.

Toolbox for Success:

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 (Data Flow, Dataproc, Data Fusion, Data Stage, 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.

Physical Demands:

Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.

We offer competitive compensation, benefits packages, and significant…