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FICO

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

Reposted One Month Ago
In-Office or Remote
Hiring Remotely in Home, PA
105K-165K Annually
Senior level
In-Office or Remote
Hiring Remotely in Home, PA
105K-165K Annually
Senior level
Own and build Snowflake-based analytics and AI-ready data products. Design and maintain dbt pipelines, semantic models, RBAC and security policies, optimize queries and warehouses, integrate data via Fivetran, create dashboards, troubleshoot production issues, document designs, enforce coding standards, and mentor junior engineers while partnering with business stakeholders.
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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

  • 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.

What We're Seeking

  • 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.

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

  • 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.

  • 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.

Our Offer to You

  • An inclusive culture strongly reflecting our core values:  Act Like an Owner, Delight Our Customers and Earn the Respect of Others.

  • The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.

  • Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.

  • An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.

  • The targeted base pay range for this role is: $105,000 to $165,000 with this range reflecting differences in candidate knowledge, skills and experience.

#LI-CG1

#LI-remote

Why Make a Move to FICO?

At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics.  You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.

FICO makes a real difference in the way businesses operate worldwide:

•    Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.

•    Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.

•    Lending — 3/4 of US mortgages are approved using the FICO Score.

Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career.  Join FICO and help change the way business thinks!

Learn more about how you can fulfil your potential at www.fico.com/Careers

FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.

Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy

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