Join our Data team as a Senior Manager, Data Engineering and play a key role in evolving and scaling the data platform that powers critical business decisions across the company. You'll lead architectural strategy, strengthen data reliability and governance, and drive modernization efforts that unlock faster analytics, experimentation, and AI-driven innovation in a high-growth fintech environment.
This role blends people leadership with deep technical ownership - ideal for a hands-on leader who enjoys shaping architecture while mentoring and growing a high-performing team.
What you'll do:- Define and drive the evolution of our data platform strategy across Fraud, Brokerage, Marketing, Product, Analytics, and Data Science.
- Lead architectural decisions around distributed processing, warehouse strategy (Snowflake target state), ingestion tooling, and workflow orchestration.
- Improve automation, reliability, observability, and cost efficiency across our AWS-based ecosystem.
- Strengthen data governance, lineage, validation, and quality standards across the platform.
- Lead initiatives to modernize ingestion patterns, including expanding tools like Fivetran and improving workflow maintainability.
- Contribute directly to architecture, code reviews, and complex problem-solving across DBT, and warehouse layers.
- Own end-to-end data workflows from ingestion (Postgres and backend systems) through transformation and warehouse delivery.
- Partner cross-functionally to translate evolving business needs into scalable, production-grade data solutions.
- Mentor and develop engineers while fostering a culture of ownership, accountability, and technical excellence.
What We're Looking For:- 8+ years of experience in data engineering, data warehousing, or data architecture roles.
- Experience leading or mentoring engineers on small to medium-sized teams.
- Strong experience working within AWS environments.
- Strong architectural judgment and experience building scalable, production-grade data platforms.
- Experience designing or evolving modern cloud data warehouse solutions.
- Strong understanding of distributed systems, data modeling, and ETL/ELT design patterns.
- Proven hands-on experience with AI tools (e.g., Cursor, ChatGPT, etc.) as a core part of daily workflows, driving productivity and enhancing output quality, alongside a commitment to continuously developing AI expertise
- Consistent integration of AI into workflows and decision-making, with strong judgment-validating outputs, adhering to Stash guidelines (especially for sensitive data), and owning the quality of AI-assisted work
- Experience improving platform reliability, performance, and cost efficiency.
- Excellent cross-functional communication skills.
- Ability to operate as both a people leader and hands-on technical contributor.
Gold Stars:- Experience implementing or migrating to Snowflake.
- Working knowledge of DBT and analytics engineering best practices.
- Experience implementing automated ingestion tools such as Fivetran.
- Experience working in regulated environments (PCI, SOC 2, fintech).
- Startup or scale-up experience in fast-moving, high-growth organizations.
- Proven ability to influence architectural direction across multiple engineering teams.
#LI-HYBRID
Helping You Invest in Yourself - Comprehensive total rewards package, comprising compensation (salary and equity) and health care benefits
- Complimentary subscription to Stash+ account
- Hybrid Work Policy - We operate a hybrid work environment in NYC that prioritizes time together in the office to strengthen teamwork, innovation, and culture, while still allowing for work-from-home flexibility.
- Flexible PTO
- Work-from-home equipment stipends; home internet subsidy
- Paid Parental Leave (offerings for birth giving and non-birth giving parents) Primary & Secondary
- Enhanced health and wellness benefits through One Medical, Gympass, and Maven Health
Salary Range: $149,180 - $222,040
The base salary range represents the reasonably anticipated low and high end of the salary range for this position. Actual salaries will vary and will be based on various factors, such as the candidate's qualifications, skills, experience and competencies, as well as internal equity and alignment with market data for companies of our size and industry.
**No recruiters, please**
