Principal Data Engineer

A rapidly growing financial technology company is hiring a Principal Data Analytics Engineer to lead the evolution of its cloud-native data platform supporting one of the world's largest structured finance analytics ecosystems.

This is a highly strategic, hands-on role where you'll shape the technical direction of the organization's analytics platform while partnering closely with engineering, product, analytics, and business leaders. The team is looking for someone who can architect large-scale data systems, establish engineering best practices, mentor senior engineers, and solve complex data challenges that directly influence financial markets.

8+ years of experience in data engineering, analytics engineering, or data platform development Expert-level proficiency in Python and SQL Extensive experience designing scalable ETL/ELT pipelines and cloud-native data architectures Strong experience with dbt, Apache Airflow, Apache Spark, or equivalent modern data frameworks Experience with Google Cloud Platform, BigQuery, Dataproc, Cloud Run, or similar cloud technologies Deep understanding of data modeling, business logic implementation, and relational database design Experience building highly reliable, production-scale data platforms Strong software engineering fundamentals with a focus on performance, scalability, and maintainability Excellent communication skills with experience influencing technical and business stakeholders Experience mentoring engineers and driving engineering best practices across teams Desired Skills & Experience Experience architecting enterprise-scale analytics platforms Background in financial services, lending, capital markets, or structured finance Experience working with AI-assisted development tools and modern data automation frameworks Experience partnering directly with customers and executive stakeholders Familiarity with distributed computing, data governance, and large-scale data quality initiatives Experience leading technical strategy across cross-functional engineering organizations, Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

40% Data Platform Architecture & Engineering 30% Data Modeling, Analytics Engineering & Business Logic 20% Technical Leadership & Cross-Functional Strategy 10% Platform Innovation & Performance Optimization Daily Responsibilities 60% Hands On Engineering 25% Technical Leadership & Architecture 15% Cross-Functional Collaboration & Stakeholder Engagement The Offer Competitive base salary + bonus and equity potential

You will receive the following benefits: Medical Insurance Dental Benefits Vision Benefits 401(k) Unlimited Paid Time Off (PTO) Monthly Fitness Stipend & Annual Wellness Fund Paid Parental Leave Professional Development & Conference Opportunities