Job Description
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.
This is a hybrid full-time role in Back Bay, Boston.
Required Skills & Experience
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
What You Will Be Doing Tech Breakdown
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
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10105282
- Position Id: 881478
- Posted 22 hours ago
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