Senior Manager, Data Engineering

· Remote

Location

Remote

Type

Full Time

Job Description

SoFiJobs
Senior Manager Data Engineering

Senior Manager Data Engineering

Reposted An Hour Ago
Easy Apply
Hiring Remotely in United States
Remote or Hybrid
163K-281K Annually
Senior level
Fintech • Mobile • Software • Financial Services
SoFi’s mission is to help people reach financial independence to realize their ambitions.
The Role
Lead the data engineering team develop and maintain data models and pipelines for risk domains and manage data quality and governance.
Summary Generated by Built In

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Who we are:

Shape a brighter financial future with us.

Together with our members we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives with our core values guiding us every step of the way. Join us to invest in yourself your career and the financial world.

The role:

SoFi is looking for a Senior Manager Data Engineering to join our IRM Analytics team. This is a hands-on leadership role (50% individual contributor 50% people manager) for a seasoned data engineering leader with deep roots in US banking and financial risk data.

You will own the data models data pipelines and data infrastructure that underpin our risk and AI applications - spanning critical domains like lending credit fraud AML and compliance. You will lead a focussed team of data engineers set technical direction and be an integral contributor to every data and AI initiative we build.

This role is for someone who has spent most of their career inside US banks and understands not just the technology but the data - the domains the regulatory context the critical datasets and why they matter.

What you’ll do: 

  • Own the data model - design build and maintain integrated data models for lending credit fraud AML KYC and related risk domains; ensure models reflect banking semantics and regulatory requirements
  • Own the data pipeline and infrastructure - architect and manage end-to-end data pipelines using dbt Airflow Snowflake MongoDB and Terraform; ensure reliability performance and scalability
  • Lead data and AI projects - serve as the data engineering anchor for all data and AI initiatives; partner with full stack engineers AI/ML engineers and product managers to deliver production-grade applications; own the data infrastructure for AI use cases including RAG pipeline data management and evaluation dataset / ground truth curation
  • Lead a team of data engineers - manage and develop the team; set standards for code quality code review testing documentation and CI/CD practices for data pipelines
  • Drive data quality and governance - establish data definitions lineage and quality standards aligned to regulatory expectations (BCBS 239 SR 11-7 etc.); implement data observability practices including dbt tests data contracts freshness SLAs and anomaly detection to ensure reliability across all pipelines
  • Stay 50% hands-on - write and review production code own critical pipelines and lead by example

What you’ll need:

  • 15+ years of experience in data engineering with the majority of that tenure inside US banks or financial institutions
  • Deep knowledge of banking risk data domains - lending credit risk deposits AML KYC fraud banking regulations and the critical datasets that support them
  • Expert-level Snowflake dbt and Python - proven ability to design and own complex analytical data models; Python fluency for Airflow DAGs pipeline logic and data quality scripting
  • Strong pipeline and infrastructure skills - hands-on experience with Airflow MongoDB and Terraform in production environments
  • People leadership - experience managing and mentoring data engineers; strong code review culture
  • Banking regulatory awareness - familiarity with BCBS 239 BSA/AML regulations OCC/Fed/FDIC data expectations
  • Communication - able to translate complex data concepts for risk compliance and executive stakeholders

Nice to have:

  • Experience at a US bank in Model Risk Integrated Risk ERM or Compliance Analytics
  • Familiarity with GRC platforms (ServiceNow) and risk data warehouses
  • Experience with LLM/AI application data pipelines and observability tooling
Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience skills and location. 
 
To view all of our comprehensive and competitive benefits visit our Benefits at SoFi page!
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race color religion (including religious dress and grooming practices) sex (including pregnancy childbirth and related medical conditions breastfeeding and conditions related to breastfeeding) gender gender identity gender expression national origin ancestry age (40 or over) physical or medical disability medical condition marital status registered domestic partner status sexual orientation genetic information military and/or veteran status or any other basis prohibited by applicable state or federal law.The Company hires the best qualified candidate for the job without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.New York applicants: Notice of Employee RightsSoFi is committed to an inclusive culture. As part of this commitment SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process please let your recruiter know or email [email protected].Due to insurance coverage issues we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Skills Required

  • 15+ years of experience in data engineering
  • Deep knowledge of banking risk data domains
  • Expert-level Snowflake dbt and Python proficiency
  • Strong pipeline and infrastructure skills with Airflow MongoDB and Terraform
  • Experience managing and mentoring data engineers
  • Familiarity with BCBS 239 and BSA/AML regulations
  • Strong communication skills

What the Team is Saying

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SoFi Compensation & Benefits Highlights

  • Parental & Family SupportUp to 12 weeks fully paid parental leave paid caregiver leave fertility/adoption resources and subsidized backup childcare/eldercare are offered. Pet insurance and family-building support further broaden the coverage.
  • Healthcare StrengthMedical dental and vision coverage is paired with company-paid short- and long-term disability and life insurance. Mental-health support via Modern Health and employer HSA contributions enhance overall health support.
  • Leave & Time Off BreadthFlexible vacation for exempt employees generous PTO for non-exempt paid holidays and early-release “SoFi Fridays” expand time-off options. An additional 16 hours of paid volunteer time underscores community engagement.

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The Company
HQ: San Francisco CA
4500 Employees
Year Founded: 2011

What We Do

SoFi wasn’t built to be a bank. Or a technology company. We were built for one mission: help people achieve financial independence so they can realize their ambitions. Redefining an entire industry isn’t easy work—and it’s not for the faint of heart. It takes a certain kind of team. People with diverse perspectives and expertise united by a common sense of purpose. People willing to challenge assumptions but always do the right thing. People proving that innovation and responsibility don’t have to compete but can come together to create something truly unconventional in the world. For the last eight years we’ve been charting this new path forward. We call it The SoFi Way. At SoFi we don’t just talk about culture: we live it. The SoFi Way is how we show up every day how we make decisions and how we build for our members clients and each other.

Why Work With Us

Together with our members we’re changing the way people think about and interact with personal finance. We’re a next-generation Fintech company using innovative mobile-first technology to help our members reach their goals. The industry is going through an unprecedented transformation and we’re at the forefront.

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Employees engage in a combination of remote and on-site work.

For the majority of our workforce who work on a hybrid schedule the in-office requirement is a handful of days per month!

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Date Posted

05/13/2026

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