Business Intelligence, Plaid
$159.6-260.4k
1-5 days a week in office
Infrastructure and APIs for FinTech
Be an early applicant
Infrastructure and APIs for FinTech
1001+ employees
Be an early applicant
$159.6-260.4k
1-5 days a week in office
1001+ employees
Company mission
Plaid's mission is to unlock financial freedom for everyone.
Role
Who you are
- 10+ years of experience in analytics engineering, data engineering, or a related technical data role
- Deep expertise with SQL and dbt, including modular modeling, documentation, and testing
- Proven track record of building source-of-truth data models that support product use cases
- Experience with cloud data warehouses (e.g., Databricks, Snowflake, Redshift, or BigQuery), semantic layers (dbt), version control (Git), and visualization tools (Tableau, Looker)
- Familiarity with instrumentation design and working with product logs or event data
- Experience partnering with Product, Engineering, and Data Science stakeholders to translate business logic into technical data solutions
- Strong focus on data quality, governance, and scalability in analytics workflows
- Clear, concise communication skills and a collaborative, systems-oriented mindset
What the job involves
- As a member of Business Intelligence working directly with our Network Enablement product team, you will be at the forefront of building scalable and reliable analytics foundations that power decision-making across Product, Engineering, and Data Science
- This senior individual contributor role is focused on developing foundational product-data infrastructure, defining and maintaining trusted metrics, and enabling self-serve analytics and AI tooling
- Build and maintain foundational dbt models and curated, source-of-truth datasets that support analytics, experimentation, and decision-making across Product, Engineering, and Data Science
- Collaborate with Product Managers, Engineers, and Data Scientists to translate instrumentation and analytical requirements into well-structured data models
- Develop and enforce standards for metrics, modeling practices, and documentation to ensure consistency and reusability
- Own the full analytics engineering lifecycle—from raw ingestion and transformation to surfacing insights in BI tools like Tableau or Mode
- Partner with Data Science teams to enable experimentation, forecasting, and AI tooling with reliable, structured data
- Partner with Data Engineering to ensure data quality and observability, including testing, alerting, and documentation
- Enable self-serve analytics by building semantic layers and reusable data products that empower teams to independently access trusted insights
- Act as a technical thought partner within the product data domain, contributing to roadmap planning and data architecture decisions
- Unlock insights by ensuring Data Science has clean, structured, and trustworthy data
- Reduce engineering and analytics rework by creating centralized and well-documented metrics
- Accelerate product iteration cycles by enabling Product teams to self-serve key usage and performance metrics
- Improve confidence and consistency in decision-making through robust, well-governed data systems
Our take
Plaid builds infrastructure that allows a consumer to interact with their bank account on the web through a number of third-party applications, like Venmo, Robinhood, Coinbase, Acorns and LendingClub.
Plaid has integrated with 12,000 financial institutions in the US, Canada, the UK and Europe. About a quarter of people living in North America with bank accounts have linked with Plaid through at least one of the hundreds of apps that leverage Plaid’s application program interfaces (APIs). The platform allows companies to create financial services applications without having to hire their own team of engineers to build out a tool that connects apps to its users’ bank accounts.
This is very valuable in a world where there are increasing number of fintechs, so the demand for Plaid's services are only going to grow. Despite its strong position, it has not been immune to the difficult global economic situtation and was forced to restructure at the end of 2022, laying off some of its workforce. However it is still experiencing growth and is well-positioned to weather the current economic uncertainty.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Apr 2025
$575m
LATE VC
Apr 2021
$425m
SERIES D
Total funding: $1.3bn
Company benefits
- Monthly wellness stipend (gym on us)
- We offer breakfast, lunch, and dinner to keep you well-fed and healthy (when working from the office)
- From medical, life, dental and pension schemes, we’re here to support your physical, mental, and financial wellbeing
- We want everyone to feel ownership over their work - literally, which is why we offer equity to full-time Plaids
- Every Plaid is in control of their career development with our learning stipends, tools, and trainings
- We give Plaids the freedom and flexibility to choose where they work - whether that is in a Plaid office, at home in any supported location, or a mix of both!
- Two weeks of synchronous, company-wide vacation
- We want to make sure you have time to meet your personal needs with unlimited PTO
Company HQ
SoMa, San Francisco, CA
Leadership
Zach Perret
(CEO)He was a Consultant at Bain and previously a Research Fellow and Trustee at Duke before co-founding Plaid
William Hockey
(Board Director)He was previously an associate at Bain and has since moved on from Plaid to become Co-CEO at Column
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