VP Enterprise Data Engineer

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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.

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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.

• 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.

• 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

• 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  to ask for an accommodation, alternative application process, or other inquiries.