VP Enterprise Data Engineer

Job summary

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.

Benefits

Qualifications

• Well, you are in the right place.
• 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
• 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

Responsibilities

• 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

Degrees

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