Sr Engineer, Data & Analytics Platform (Snowflake/dbt)

FICO is a leading global analytics software company, helping businesses in 100+ countries make better decisions. They are seeking a Senior Engineer for their Data & Analytics Platform to design, build, and own the data platform that powers enterprise analytics and AI, focusing on Snowflake and dbt technologies.

Responsibilities:

• Perform hands-on analysis, technical design, data modeling, development, testing, and deployment of Snowflake-based data solutions. Own the end-to-end lifecycle of analytics data products, from raw ingestion through dbt transformation to semantic models consumed by AI agents and BI tools
• Design, build, and maintain dbt models, tests, and CI/CD pipelines for enterprise BI and analytics use cases. You'll own a production dbt project from day one
• Build and publish semantic models (Snowflake semantic views) that make enterprise data consumable by AI agents, BI tools, and business users, without requiring SQL
• Own Snowflake platform responsibilities including data architecture, query optimization, RBAC design, cost management, and warehouse administration. Experience in setting up Role-based access, Row Level Access, and Column Masking policies
• Develop dashboards and analytics deliverables using modern visualization tools (Sigma, Power BI, Streamlit, or similar). We're evaluating Snowflake-native BI options, adaptability matters more than a specific tool
• Partner with multiple cross-department business stakeholders and internal IT colleagues to translate business questions into data products, reports, dashboards, semantic models, or agent-queryable datasets
• Contribute to FICO's AI-powered analytics platform by building the data foundation that Cortex Agents query, validating data quality, and expanding domain coverage
• Troubleshoot and ensure timely resolution of production data issues and platform defects
• Identify and apply creative and innovative approaches to resolving data modeling, integration, and delivery challenges
• Follow and support established processes for enhancements and change requests, as well as recommend and enforce coding standards
• Prepare and document technical designs and conduct code reviews and checkpoint meetings as needed
• Support and mentor junior team members through code reviews, pairing, and technical guidance
• Effectively communicate within the technical team and with business partners

Requirements:

• Extensive experience with Snowflake, including data modeling, query optimization, warehouse architecture, and administration. This is your primary platform
• Strong experience with dbt, building models, tests, macros, and CI/CD pipelines. Solid understanding of dimensional modeling, star schemas, and semantic layer design
• Best practice for implementing RBAC, Row Level Access, and Column Masking policies
• Strong knowledge of SQL. Python experience is a plus
• Experience building dashboards and analytics deliverables in at least one modern BI/visualization tool (Sigma, Power BI, Tableau, Streamlit, or similar). The specific tool matters less than analytical thinking and design sense
• Fivetran experience, including experience with ELT pipelines and data integration patterns
• Wel versed in Analytics Engineering, Data Engineering, or related roles
• Strong technical, critical thinking, analytical, and problem-solving skills
• Ability to work independently as well as in a collaborative and dynamic team environment. Self-directed execution, can take a vague requirement and deliver without daily check-ins
• Experience working within an Agile/Scrum software development environment
• Demonstrated technical curiosity and passion for learning
• Bachelor's in Computer Science, Data Science, or related disciplines or relevant experience in data architecture, analytics engineering, and data platform development
• Preferred experience with GitHub and GitHub Actions, or similar source code control and CI/CD systems
• AI/LLM familiarity (Snowflake Cortex, semantic models, agents) is a plus but not required
• Power Automate, workflow automation, or DataOps tooling experience is a plus
• Terraform experience is a plus