Fintech Principal Data Engineer

Intuit Inc.; Mountain View (CA); On-site; USD 245,000 - 332,000; Full time

Job summary

Intuit Inc. is seeking a Fintech Principal Data Engineer to bridge data needs between Fintech product teams and data consumers across compliance, finance, analytics, risk, and marketing.

The role sits on the central Fintech Data team and focuses on delivering today’s data estate while building a certified, canonically modeled domain data published to a unified store and made AI-ready through a financial-domain ontology.

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 transactional/analytical use.
• Strong distributed-systems foundations: event streaming (Kafka), CDC, microservice data patterns, modern stores (HTAP/online-OLAP).
• Experience operating in regulated environments — SOX or equivalent controls, data lineage, auditability.
• Ability to influence without authority across product, analytics, risk, and compliance stakeholders.
• Clear communication with both engineers and executives.
• Nice to have fintech/payments domain experience; knowledge graphs or ontologies; AI/agentic data consumption.
• Proficiency in Python/Java and familiarity with data tooling

Responsibilities

• Understand how data is produced by product microservices and suggest data contract changes.
• Create canonical data models for Fintech domain data and publish a single source of truth.
• Contribute to Fintech data ontology so AI agents reason on business meaning.
• Own semantic views for data consumers across finance, compliance, marketing, and risk.
• Build self-serve tools and standards to publish quality data without bottlenecks.
• Design durable cross-domain data products consumed by multiple teams.
• Evaluate modern data-serving tech (HTAP/online-OLAP) with strong data lineage by design.
• Partner with data stewards to drive standards adoption and governance.
• Balance tactical delivery with strategic platform build-out and prioritize accordingly.
• Understand Intuit products (QBO and TT) and how Fintech offerings connect to them.

Skills

Canon domain modeling

Event streaming (Kafka)

Data architecture

SQL mastery

Python/Java

Data governance

Tools

Kafka

CDC

Microservices

HTAP

OLAP

Lakehouse

SQL

Python

Java

Job description

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.

This job includes understanding how product engineers operate, how the products work, and what data consumers need, in order to translate business requirements into data architecture that scales. You will work at every altitude: hands-on with source microservices and event streams, at the modeling table defining canonical domain entities, and at the whiteboard with senior leadership shaping how a multi-billion-dollar fintech business governs its data.

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 (about our compensation and benefits at Intuit®: Careers | Benefits). 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.

Mountain View $245,000 - $331,500