Senior Engineering Manager, Data
Galileo Financial Technologies
Salary undisclosed
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Description
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Who we are:
Welcoming, collaborative and having the opportunity to make an impact - is how our employees describe working here. SoFi Tech Solutions (formerly Galileo Financial Technologies) is a financial technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. SoFi Tech Solutions leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at https://tech.sofi.com/careers/.
The Role
We’re looking for a Senior Engineering Manager to lead the Data Team. You’ll own the roadmap for how we collect, model, govern, and serve data - and build the team needed to deliver on it. In the first year, that includes formalizing our Data Products strategy, launching a new analytics platform and modernizing our Data Platform capabilities.
This role is ideal for someone who has scaled a data organization before, is comfortable operating in a regulated fintech environment, and wants to shape both technical architecture and set the tone for team culture.
What you’ll do:
- Own hiring, onboarding, and career development for the Data Platform and Data Analytics teams; build out the team as the org scales.
- Set technical direction and engineering standards for data pipelines, warehousing, and analytics tooling.
- Manage team roadmap, prioritization, and delivery against business goals.
- Own the architecture and reliability of our data platform (ingestion, ETL/ELT, orchestration, storage, and serving layers), build a strong culture of ownership and incident response.
- Extend data governance, access control, and PII/PCI-compliant handling practices by leveraging SoFi’s enterprise Data Platform and governance standards
- Partner with business stakeholders (Finance, Risk, Product, Operations) to translate reporting and analytics needs into scalable data models and self-serve tooling
- Oversee dashboards, metrics layers, and semantic models that the broader org can trust and use independently, championing data quality and a single source of truth
What We’re Looking For:
- 8+ years in data engineering, infrastructure, or a related field, including 5+ years directly managing engineers or analysts (ideally including managing leads or a team of 6+).
- Proven experience owning a data platform end-to-end: pipelines, warehousing, orchestration (Airflow, dbt), and governance.
- Strong knowledge of modern cloud data warehousing (Snowflake, BigQuery, or Redshift), cloud infrastructure/IaC (AWS, Terraform), and streaming/ingestion tooling (Kafka, DMS, Flink), plus security/compliance frameworks.
- Track record of building or scaling a data team, including hiring and mentoring.
- Comfortable operating in a regulated environment (financial services, PCI/SOC2, or similar), with the stakeholder management skills to navigate a matrixed relationship with a parent company’s teams.
- Strong systems thinking and ability to balance build-vs-buy, short-term delivery vs. long-term platform health.
Bonus Points
- Experience in fintech, banking, or payments.
- Experience working within or alongside a larger parent organization (M&A integration, shared services, etc.)
SoFi Tech Solutions 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 Rights
SoFi Tech Solutions is committed to an inclusive culture. As part of this commitment, SoFi Tech Solutions 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 accommodations@sofi.com.
We are unable to accommodate remote work from Hawaii, Alaska or Puerto Rico at this time.
Benefits
- remote work
About this role
This is a leadership role managing SoFi Tech Solutions' data organization in San Francisco, requiring in-office presence. You'd own the full data platform strategy and execution—from hiring and developing both data platform and analytics teams, to setting technical direction for pipelines, warehousing, and analytics tooling. The first year priorities include formalizing a Data Products strategy, launching a new analytics platform, and modernizing core data infrastructure. You'd also partner across Finance, Risk, Product, and Operations to translate business needs into scalable data models and self-serve analytics, while ensuring data governance, compliance, and quality standards.
The role demands 8+ years in data engineering or infrastructure with at least 5 years managing engineers or analysts (ideally teams of 6+), plus hands-on expertise across the full data stack: cloud data warehousing (Snowflake, BigQuery, Redshift), orchestration tools (Airflow, dbt), streaming platforms (Kafka, Flink), and cloud infrastructure. You'll need proven experience scaling a data team from the ground up and comfort navigating regulated fintech environments with PCI/SOC2 compliance requirements. Strong systems thinking—balancing technical debt against delivery, build versus buy decisions—is essential.
This suits someone with a track record building or scaling data organizations who thrives in a regulated financial services setting and wants to shape both technical architecture and team culture. Prior fintech or payments experience and familiarity with operating within a larger parent organization are valued but not required.
How this employer is doing
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Pay for this role
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