Cloud Data Platform Developer Jobs

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Principal Data Engineer

Motion Recruitment Boston, MA

Boston, MA

Today

Full time Cloud Cloud Data Platform Data

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Job Description

Motion Recruitment is hiring a Principal Data Analytics Engineer to help evolve a cloud-native data platform supporting a financial technology analytics ecosystem. This hybrid role in Boston’s Back Bay blends hands-on engineering with ownership of platform architecture, data modeling, and cross-functional technical direction.

In this position, you will shape the technical roadmap while also contributing directly to scalable pipelines, analytics engineering practices, and production-grade performance. The role includes a split across platform engineering, analytics and business logic work, and technical leadership across teams and stakeholders.

Role Focus

40% Data platform architecture and engineering
30% Data modeling, analytics engineering, and business logic
20% Technical leadership and cross-functional strategy
10% Platform innovation and performance optimization
60% Hands-on engineering
25% Technical leadership and architecture
15% Cross-functional collaboration and stakeholder engagement

Responsibilities

Design and engineer a scalable cloud-native data platform architecture for analytics workloads
Develop data modeling and analytics logic, including implementation of business logic
Provide technical direction through leadership, architecture decisions, and cross-functional planning
Drive platform innovation, reliability improvements, and performance optimization
Collaborate with stakeholders to influence technical and business outcomes

Requirements

8+ years of experience in data engineering, analytics engineering, or data platform development
Expert-level proficiency in Python and SQL
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 and related services such as 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 emphasis on performance, scalability, and maintainability
Excellent communication skills, including experience influencing technical and business stakeholders
Experience mentoring engineers and driving engineering best practices across teams

Technologies

Python
SQL
dbt
Apache Airflow
Apache Spark
Google Cloud Platform
BigQuery
Dataproc
Cloud Run

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

Desired Skills & Experience

Experience architecting enterprise-scale analytics platforms
Background in financial services such as 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

The Offer

Competitive base salary with bonus and equity potential.

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