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

๐Ÿข FICO ยท all FICO jobs
๐Ÿ“ United States
๐Ÿ’ฐ USD 105,000 - 165,000 / annual
๐Ÿ“… Posted 2026-07-19 ยท via Himalayas
๐Ÿท Data-Platform-Engineer,Data-Engineering,Analytics-Engineering,Snowflake-Developer,Data-Platform-Engineering,Senior-Data-Management-Platform-Engineer,Senior-Data-Analytics-Engineer,Senior-Cloud-Data-Platform-Engineer,Senior-Data-Engineering,Data-Engineer
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FICO (NYSE: FICO ) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!
The Opportunity

The Sr Engineer (Snowflake/dbt) is a hands-on technical role where you'll design, build, and own the data platform that powers enterprise analytics and AI at FICO . This is a high-impact IC role on a small team building modern data products on Snowflake, from dbt pipelines and semantic models to AI-ready datasets that Cortex Agents query directly. You won't be taking tickets, you'll own platforms, make architectural decisions, and deliver work that reaches SVP and C-suite stakeholders. If you want to build the future of enterprise analytics on a modern stack (Snowflake, dbt, Fivetran, Cortex AI, GitHub CI/CD) in an AI-first culture, this role is for you.
What You'll Contribute

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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.

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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.

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Build and publish semantic models (Snowflake semantic views) that make enterprise data consumable by AI agents, BI tools, and business users, without requiring SQL.

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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.

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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.

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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.

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Contribute to FICO 's AI-powered analytics platform by building the data foundation that Cortex Agents query, validating data quality, and expanding domain coverage.

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Troubleshoot and ensure timely resolution of production data issues and platform defects.

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Identify and apply creative and innovative approaches to resolving data modeling, integration, and delivery challenges.

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Follow and support established processes for enhancements and change requests, as well as recommend and enforce coding standards.

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Prepare and document technical designs and conduct code reviews and checkpoint meetings as needed.

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Support and mentor junior team members through code reviews, pairing, and technical guidance.

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Effectively communicate within the technical team and with business partners.

What We're Seeking

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Extensive experience with Snowflake, including data modeling, query optimization, warehouse architecture, and administration. This is your primary platform.

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Strong experience with dbt, building models, tests, macros, and CI/CD pipelines. Solid understanding of dimensional modeling, star schemas, and semantic layer design.

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Best practice for implementing RBAC, Row Level Access, and Column Masking policies.

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Strong knowledge of SQL. Python experience is a plus.

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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.

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Fivetran experience, including experience with ELT pipelines and data integration patterns.

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Preferred experience with GitHub and GitHub Actions, or similar source code control and CI/CD systems.

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Wel versed in Analytics Engineering, Data Engineering, or

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