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Intuit

Fintech Principal Data Engineer

mountain view, CA

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About this opportunity

Intuit lists this Fintech Principal Data Engineer opportunity in mountain view, California. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Overview

The Fintech Principal Data Engineer bridges data needs between data producers (Fintech product teams) and data consumers spanning compliance, finance, analytics, risk, and marketing. The role sits on the central Fintech Data team and carries both sides of its charter: keeping today's data estate delivering while building the target state — certified, canonically modeled domain data published once and consumed everywhere, served on a modern unified store, and made AI-ready through a financial-domain ontology.

Overview

The Fintech Principal Data Engineer bridges data needs between data producers (Fintech product teams) and data consumers spanning compliance, finance, analytics, risk, and marketing. The role sits on the central Fintech Data team and carries both sides of its charter: keeping today's data estate delivering while building the target state — certified, canonically modeled domain data published once and consumed everywhere, served on a modern unified store, and made AI-ready through a financial-domain ontology.

Responsibilities

Understand how data is produced by product microservices; suggest and contribute application changes (event design, correlation IDs, data contracts)

Canonical data modeling for Fintech domain data — profile and transactional entities, cross-domain concepts, and the certified model that serves as the single source of truth

Understand how AI agents consume data and ontology concepts; contribute to the Fintech data ontology so agents reason over stated business meaning rather than inferring it from raw schemas

Understand and solve for select use-case-specific needs of data consumers in areas like finance, compliance, marketing, and risk — including owning semantic views for consumers without their own engineering

Build self-serve mechanisms and paved paths: contract tooling, certification infrastructure, and standards that let domain teams produce and publish quality data without a central bottleneck

Design and build durable cross-domain data products consumed by multiple teams

Evaluate and adopt modern data-serving technology (HTAP, online-OLAP, on-read materialization) to replace pipeline-heavy architectures — with SOX-grade consistency and lineage by construction

Partner with data stewards across Fintech domains: drive standards adoption, review models, and steward changes so producers see their consumers before a change ships

Balance tactical delivery with strategic build-out — and know when each takes priority

Understanding of Intuit products (QBO and TT) and how Fintech offerings connect to them

Qualifications

10+ years in data engineering or data architecture, with hands‑on ownership of large‑scale production data systems

Deep data modeling skill: canonical/domain modeling, schema design for both transactional and analytical consumption, and experience establishing a source of truth across many producers

Strong distributed‑systems foundations: event streaming (Kafka), CDC, microservice data patterns, and modern stores (HTAP, online‑OLAP, lakehouse); SQL mastery

Experience operating in regulated environments — SOX or equivalent controls, data lineage, auditability

Demonstrated influence without authority: setting standards other teams adopt, working across product, analytics, risk, and compliance stakeholders

Communicates at both altitudes — precise with engineers, crisp with executives

Nice to have: fintech/payments domain experience; knowledge graphs or ontologies (FIBO or similar); experience enabling AI/agentic data consumption; Python/Java

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs.

Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The Expected Base Pay Range For This Position Is

Mountain View $245,000 - $331,500

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Worksite address

mountain view, CA, 94039, US

Who can apply

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