Principal Data Engineer

Principal Data Engineer

New York, New York, United States

DriveWealth is on a mission to make investing easier. We believe that everyone should have the ability to control their financial future, and that access to financial markets should not be limited by geography, wealth, or legacy systems. We are a global B2B financial technology organization dedicated to democratizing access to financial independence around the world. Our mission is realized through an API-based platform, empowering our partners to offer seamless investing and trading experiences to clients worldwide, all from their mobile devices. Our technology provides partners with a modern, extensible toolkit, enabling traditional investment workflows and innovative techniques like fractional share ownership. DriveWealth has evolved into a global platform offering trading of US equities, mutual funds, ETFs, fixed income, and options.

There's never been a better time to build a category-defining business and there has rarely been a team better positioned for this opportunity. Our culture blends the pace and agility of a fintech start-up with the impact, stability, and discipline of Wall Street. We encourage creativity and experimentation while ensuring institutional-grade execution and regulatory compliance in everything we do. Join us and help build the future of global investing!

About the Role

We are looking for a Principal Data Engineer who thrives on solving the most complex data problems, and enjoys working cross-functionally with product, engineering and analytics teams to deliver trusted, high-impact data solutions. The ideal candidate is excited to take strategic ownership of complex data challenges and help evolve our data platform to the next stage of scale and maturity, driving architectural vision and execution.

The Data & Analytics organization at DriveWealth powers the company's data ecosystem end-to-end. Within it, the Data Platform Engineering team owns two critical pillars:

• Data Ingestion - building reliable pipelines that bring data from diverse internal and external sources
• Semantic Data Layer - creating curated, consistent and reliable datasets that enable analytics, reporting and decision making

What You'll Do

• Define the architectural vision and strategy for our data ecosystem, ensuring scalability, reliability, and security.
• Design, build and maintain mission-critical robust data pipelines (batch, streaming and replication) that power analytics, reporting and compliance use-cases.
• Translate business needs into comprehensive data solutions, acting as a technical leader partnering with product managers, engineering teams and business stakeholders.
• Proactively identify major architectural challenges and opportunities, anticipate scaling, performance and quality needs before they become blockers.
• Establish and champion company-wide best practices, including documentation, code reviews and standards for data modelling, orchestration and tooling.
• Mentor and coach other engineers, raising the bar for data engineering craft and helping grow team and organizational capabilities.
• Contribute to self-service data products, enabling data consumers with curated datasets, semantic layers and tools that accelerate insight generation.
• Drive the full lifecycle of data platform modernization initiatives, from ideation to successful rollout.

What You'll Need

• 7+ years of professional experience in data engineering or related fields, with a proven track record of building and scaling data platforms and ecosystems from 0 to 1 and leading modernization efforts.
• Technical Skills:
• Proven ability to drive technical strategy, work independently, and lead complex projects cross-functionally with product, engineering and business teams.
• Experience working in teams with CI/CD pipelines, Git-based workflows and Agile methodologies
• Curiosity, accountability and a drive to improve data quality, scalability and usability across the company
• BS in Computer Science or equivalent

Special Knowledge (Nice to Have, But Not Required)

• Fintech or capital market experience
• Familiarity with regulatory and compliance-driven reporting (e.g. FINRA, GDPR)
• Previous experience as a Software Engineer (SWE)
• Exposure to and understanding of ML and AI data pipelines and MLOps
• Experience mentoring other engineers or leading a small team

Applicants must be currently authorized to work in the United States. At this time, DriveWealth does not provide new employment visa sponsorship, but candidates with existing transferable work authorization may be considered.

Compensation package offerings are based on candidate experience and technical qualifications, as it relates to the role. These are identified and determined throughout your interviewing experience.

Please note : this role is expected to come into our office on a cadence set by the Hiring Manager/Team.

New York, NY (Hybrid) Pay Range $220,000—$240,000 USD

We do our best work when we're in the same room. To maintain the speed our partners expect, our New York, Chicago, and Lithuania teams work in-office 4 days a week. We've found that being physically side-by-side is the only way to solve complex problems in real-time and stay truly accountable to the products we ship. When you're here, you're working directly with the people making the decisions. To support that work, we provide competitive compensation, equity, and a 401(k) match. We also offer full insurance coverage, a wellness reimbursement, a company-provided phone, and a personal development allowance. Finally, we value the time you spend away from the office with generous PTO, observed holidays, and extended leave.

Applicants must possess the legal right to work in the country where the position is located at the time of application. DriveWealth requires all employees to provide original documentation verifying their work authorization on or before their first day of employment.

For US-based roles: Applicants must be currently authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship. DriveWealth does not provide visa sponsorship or support for employment authorization, including transfers, at this time. Offers of employment are strictly contingent upon an individual's ability to secure and maintain the legal right to work at the Company.

We leverage AI to work smarter and move faster. We seek AI-curious talent who are proactive about using emerging tools to increase signal quality, reduce friction, and improve outcomes to deliver products faster, provide better service to our partners, and to streamline processes. Your ability to leverage our internal tools and technology to drive results is as important to us as your core domain expertise.

Pay is generally based on the level, complexity, responsibility, location, and job duties/requirements of the specific position. We then source candidates with the requisite skills, expertise, education, training, and experience. If you are selected for an interview, please feel welcome to speak to a recruiter about our compensation philosophy and other available benefits. This role is eligible for base, bonus, equity, 401(k) match, and heavily subsidized benefits and perks.

To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply.

DriveWealth does not accept agency resumes. Do not forward resumes to our jobs alias, employees, or any other organization location. DriveWealth is not responsible for any fees related to unsolicited resumes.