Snowpark Engineer Jobs

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Principal Data Engineer

New Balance Brighton, MA

Brighton, MA

Today

$139k - $208k/yr Full time Artificial Intelligence Azure Blob Storage Azure Data Factory

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Job Description

New Balance is hiring a Principal Data Engineer II to lead enterprise data infrastructure for the Global Data & Analytics team with deep Snowflake expertise and AI-assisted engineering workflows.

Responsibilities

Lead architecture, design, and development of reliable data pipelines for acquiring, ingesting, transforming, and delivering data across on-premises, cloud, batch, streaming, and event-driven sources
Define reusable architecture patterns and engineering standards for the platform
Unify batch, streaming, and event-driven processing within a cohesive cloud data architecture with monitoring, alerting, recovery, and operational controls
Partner with business and IT stakeholders and data consumers to define requirements, identify source systems and integration approaches, and model business and system processes using use case scenarios, workflow diagrams, and data models aligned to enterprise data architecture
Design and deliver reusable, well-governed data products across business domains with data owners and consumers, covering requirements, quality standards, documentation, ownership, and operational expectations
Lead technical design reviews and guide decisions across scalability, reliability, security, maintainability, performance, and cost optimization
Apply practical AI capabilities to improve pipeline development, testing, and operations, including AI coding agents (e.g., Snowflake CoCo) and LLM-powered techniques (e.g., Snowflake Cortex AI Functions)
Automate data-quality validation and source-to-target reconciliation using AI with appropriate security, governance, human review, and production controls
Debug, profile, and optimize integrations and ETL/ELT processes to improve performance, reliability, and efficient resource consumption
Drive process improvements by automating manual work, optimizing data delivery, and strengthening CI/CD and testing practices to improve scalability and supportability
Document application and data architecture, engineering standards, operating procedures, technology decisions, and maintain operational runbooks; recommend practical improvements and alternatives
Provide prompt production issue response and on-call support as needed, keep stakeholders informed, and surface delivery risks or obstacles with lead time
Foster collaboration through open communication, technical mentorship, knowledge sharing, and succession planning; stay current with emerging data engineering and platform capabilities

Requirements

Bachelor’s degree in Computer Science, Management Information Systems, or related field (or equivalent professional experience)
11-13 years of experience in data warehouse and data engineering development, including building, managing, and optimizing enterprise data pipelines in cloud computing environments
Proven ability to lead architecture and development of complex data pipelines and integrations across multiple source systems, with strong knowledge of the software development life cycle
Strong understanding of data architecture, data modeling, data quality, observability, and secure engineering practices
Expert proficiency in SQL and Python, with strong analytical, troubleshooting, and problem-solving skills
Deep experience with Snowflake data warehousing and data engineering capabilities, including performance optimization, cost-conscious design, and development using SQL, Python, and Snowpark
Ability to translate business requirements into technical specifications, including data sources, integration methods, transformations, data models, validation controls, and operational requirements
Experience designing and delivering reusable data products across multiple business domains, including modeling, pipeline development, quality controls, documentation, and operational support
Experience with Azure data integration services, including Azure Data Factory and Azure Data Lake Storage or Azure Blob Storage
Experience with data transformation and software delivery practices using tools such as dbt, GitHub, GitHub Actions, automated testing, and CI/CD
Experience using AI coding agents to accelerate pipeline development and testing and applying LLM-powered techniques to automate data-quality validation or reconciliation in ELT pipelines
Demonstrated technical ability, thoroughness, and accuracy; ability to analyze issues using technical databases and business application understanding to reach results-oriented conclusions
Excellent written and verbal communication skills to explain technical concepts to technical and non-technical audiences, influence cross-functional decisions, and proactively raise risks and issues
Demonstrated sense of urgency, initiative, and adaptability; sound judgment, attention to detail, required confidentiality, influencing and negotiation skills, and ability to mentor engineers

Technologies

Snowflake
SQL
Python
Snowpark
Snowflake CoCo
Snowflake Cortex AI Functions
LLM
ETL
ELT
Azure Data Factory
Azure Data Lake Storage
Azure Blob Storage
dbt
GitHub
GitHub Actions
CI/CD
automated testing
streaming
event-driven

Benefits

Comprehensive traditional benefits package including three options for medical insurance, plus dental, vision, life insurance, and 401K
Online learning and development courses
Tuition reimbursement
$100 monthly student loan support
Mentorship programs
Yearly $1,000 lifestyle reimbursement
4 weeks of vacations
12 holidays
Generous parental leave
Flexible work schedule with North American hybrid model (in office three days per week: Tuesday, Wednesday, Thursday)
Work from Anywhere (WFA) for four weeks per calendar year

Location and Pay Range

Brighton, MA (hybrid)
Annual base pay range: USD 138,500 - 207,500 (with intermediate range shown as $138,500.00 - $173,000.00 - $207,500.00)

Work Schedule Details

In-office three days per week: Tuesday, Wednesday, and Thursday
Work from Anywhere (WFA) for four weeks per calendar year

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