Fintech Principal Data Engineer
Reads like a Data Leadership role: running a data team.
Mountain View, California
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- Pay
$245,000–331,500/year · BaseAnnual period assumed — pay source
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 (see more 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. The expected base pay range for this position is: Mountain View $245,000 - $331,500
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingCanonically model Fintech domain entities as the single source of truth
Contribute to the Fintech data ontology so AI agents reason over business meaning
Build self-serve contract tooling, certification and paved paths for domain teams
Design and build cross-domain data products used by multiple teams
Evaluate modern data-serving stores to replace pipeline-heavy architectures
From the employer’s posting
Canonical data modeling for Fintech domain data
contribute to the Fintech data ontology so agents reason over stated business meaning rather than inferring it from raw schemas
Build self-serve mechanisms and paved paths: contract tooling, certification infrastructure, and standards
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
What you’ll bring
All qualificationsCore experience
- 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
- Experience operating in regulated environments — SOX or equivalent controls, data lineage, auditability
Qualification wording
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
Experience operating in regulated environments — SOX or equivalent controls, data lineage, auditability
Tools in this posting
- Java
- Python
- SQL
- Kafka
Source — Tool mentions in context
- 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 (see more 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.
- 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
Posting record
Report an errorMay be filledThe employer has taken this listing down, so the role may be filled. Check their website before applying.
- Status in our records
- No longer listed
- First seen by us
- Sep 14, 2026 · 37 days ago
- Recorded sightings
- 143
- Last seen by us
- Oct 6, 2026
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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 (see more 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.
The expected base pay range for this position is:Mountain View $245,000 - $331,500
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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 (see more 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. The expected base pay range for this position is: Mountain View $245,000 - $331,500
- Location & working pattern
Mountain View, California
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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