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About the Role

Where Data Meets Decision-Making. We turn numbers into insights that drive client success. Join GPFS - a people-first fund administrator serving clients across the US, UK, and EU. We offer a collaborative culture, real career growth, and benefits that invest in your future.

Responsibilities

• Develop and maintain core data warehouse structure and assist with the transition to a lakehouse.
• Evaluate existing Snowflake workloads and identify candidates for migration, optimization, or hybrid operation.
• Develop and maintain dbt models across staging, intermediate, mart, and semantic layers, following established project structure, testing, and documentation standards.
• Build and maintain data pipelines that ingest data from source systems into Snowflake, collaborating with platform and analytics teams on requirements and priorities.
• Write and optimize SQL transformations for performance, readability, and maintainability within Snowflake.
• Contribute to data quality and reliability efforts, including schema validation, source freshness checks, row-level testing, and pipeline monitoring.
• Participate in CI/CD processes for data, including automated testing, code review, and deployment practices using Git-based workflows.
• Contribute to Snowflake and cloud infrastructure configuration, including warehouse sizing, access patterns, and integration with surrounding services, under the guidance of senior engineers.
• Support orchestration workflows and data pipeline scheduling, helping ensure pipelines run reliably and recover gracefully from failures.
• Participate in design reviews, offering input on implementation approaches and learning from senior engineers’ architectural decisions.
• Troubleshoot and resolve pipeline and data quality issues, conduct root cause analysis and implement fixes.
• Document work clearly, including data models, pipelines, and operational runbooks, so the broader team can understand and maintain what you build.

Requirements

• 5+ years of experience in data engineering, analytics engineering, or a closely related technical field.
• Strong hands-on experience with Snowflake, including writing performant SQL, understanding warehouse behavior, and working with Snowflake’s access and security model.
• Understanding of dimensional modeling, data marts, data quality controls, and enterprise reporting needs.
• Strong hands-on experience with dbt, including building and testing models, using macros, and following layered project structures.
• Solid understanding of data modeling concepts, including dimensional modeling and common transformation patterns.
• Proficiency in SQL for analytical and transformation workloads, including debugging and performance along with familiarity with common tools and practices used to do so.
• Experience with Git-based version control and collaborative development workflows.
• Familiarity with building or supporting data pipelines for analytics and/or AI/ML use cases.
• Exposure to CI/CD practices for data, cloud infrastructure, and orchestration tooling.

Skills

• Snowflake
• SQL
• dbt
• Git
• CI/CD
• Data Modeling
• Dimensional Modeling
• Data Warehousing
• Lakehouse
• Data Pipelines
• Data Quality
• Orchestration

Location

• US
• UK
• EU

Work Type

• Hybrid

Experience Level

• Senior

Benefits

• Strong training plans and materials provided
• Competitive Medical, Dental & Vision Insurance
• Company-Paid Life Insurance & 401(k)
• Generous PTO, Sick Time & Paid Holidays

About the Company

• GPFS is a people-first fund administrator serving clients across the US, UK, and EU.
• We offer a collaborative culture, real career growth, and benefits that invest in your future.
• At GPFS, every voice matters and every win is shared. We’re raising the bar in our industry—come grow with us!