VP Enterprise Data Engineer

Build Your Future Here:

Thinking of changing jobs or starting your career at a growing company with an award-winning culture? Well, you are in the right place. Join us on our journey to being the Best Community Bank in America. Our motto is Working Together. Building Success. and by joining Peoples Bank, we will work together to help you achieve your career goals, just like we help thousands of clients reach their financial goals.

Peoples Bank is one of the largest 150 banks in the United States with 130 full-service bank branches in Ohio, West Virginia, Kentucky, Virginia, Washington D.C. and Maryland. We also have Specialty Finance offices in Minnesota, Missouri and Vermont. Peoples Bank prides itself as a community bank and dedicates its resources to improving our communities. The Peoples Bank Foundation has donated over $8 million to local organizations since its inception in 2003.

We are proud to share national accolades that celebrate our company culture and recognize us as a great place to bank and work:

• American Banker Best Banks to Work For in 2021, 2022, 2023, 2024 and 2025
• Top Workplaces USA national award in 2022, 2023, 2024, 2025 and 2026
• Newsweek's America's Best Banks 2023 and 2024
• Newsweek’s America's Greatest Workplaces 2024 and 2025
• Forbes America’s Best Banks 2024 and 2025
• Forbes Best-in-State Banks 2020, 2021 and 2025
• TIME’s America’s Growth Leaders 2026 award winner

At Peoples Bank, we know that there is more to life than work. But we also understand that the quality of the work environment and employee benefits can greatly impact an associate's life. That's why we seek to create a great benefits package for our associates including: 401(k) retirement plan with an employer match, employee stock purchase plan, various education assistance programs such as student loan and tuition paydown/reimbursement, paid vacation, holidays, and much more. For full details of our benefits offerings, please visit: peoplesbancorp.com/about-us/find-a-career/

Job Purpose:

The Enterprise Data Engineer will solution, build, and operate scalable, governed data pipelines and analytics‑ready data products on the enterprise data platform. This role is a core contributor to our modern data architecture, leveraging Snowflake, ELT tools (Fivetran/Informatica/SSIS), dbt/SQL‑driven transformations with medallion architecture patterns (Bronze / Silver / Gold) to deliver trusted, reusable data assets across the organization. This role will leverage strong hands‑on experience with cloud data warehousing, SQL‑based transformation frameworks (dbt and/or stored procedures), and production‑grade data modeling, and partner in an environment that values automation, auditability, governance, and enterprise scale.

Job Duties:

• Design, build, and maintain enterprise‑grade ELT pipelines using Fivetran, Informatica or similar tool to ingest data from operational systems into Snowflake.
• Implement and operate a medallion architecture (Bronze, Silver, Gold) that supports data lineage, quality enforcement, and scalable consumption.
• Develop SQL‑based transformations using dbt, Snowflake stored procedures, and views to standardize, conform, and enrich data.
• Create and maintain analytics‑ready data models that support BI, reporting, and downstream data products.
• Embed data quality checks, audit columns, and metadata into pipelines to support traceability and compliance.
• Partner with data governance and security teams to implement role‑based access controls, masking, and least‑privilege access patterns in Snowflake.
• Monitor pipeline health, performance, and cost efficiency; proactively resolve failures and optimize workloads.
• Work closely with domain SMEs, analytics teams, and others to translate business requirements into scalable data solutions.
• Contribute to shared engineering standards, reusable frameworks, and documentation to improve consistency and delivery velocity.
• Support a data‑product mindset, enabling teams to consume trusted data without rebuilding logic.
• Will perform special projects as assigned.

Education, Job Skills and Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field preferred.
• 5+ years of experience in data engineering, analytics engineering, or related roles.
• Strong proficiency in SQL for data transformation, modeling, and performance optimization.
• Experience with ELT/ETL tools such as Fivetran and/or Informatica.
• Experience working in regulated or enterprise environments (financial services, healthcare, etc.).
• Knowledge of cloud storage and integration patterns (e.g., Azure Blob, cloud landing zones).
• Experience with CI/CD for data pipelines and version control (Git‑based workflows).
• Understanding of cost optimization strategies in Snowflake.
• Hands‑on experience with Snowflake as a primary data warehouse.
• Practical experience implementing medallion or layered data architectures.
• Experience with dbt and/or Snowflake stored procedures for transformation orchestration.
• Familiarity with data quality concepts, pipeline monitoring, and production support.
• Exposure to data governance, metadata management, or lineage tooling.
• Ability to prioritize meeting project and strategic objectives deadlines.
• Team Player

Basic Qualifications:

• 5+ years of experience in data engineering, analytics engineering, or related roles.
• Strong proficiency in SQL for data transformation, modeling, and performance optimization.

Equal Opportunity Employer M/F/Disabled/Vet;

If you are unable to complete this application due to a disability, contact [email protected] to ask for an accommodation, alternative application process, or other inquiries.