Top Hybrid Data & Analytics Jobs in Boston, MA

Design and build scalable data infrastructure and pipelines using Azure Data Factory and Databricks. Implement data integration, transformation, modeling, and optimization. Validate data quality and security, collaborate with teams and clients, and contribute to client projects while developing technical skills and personal brand.

Lead design and delivery of scalable data infrastructure and pipelines for Tax practice. Drive client engagements, business development, and mentor teams using cloud and modern data engineering tools to convert raw data into actionable insights while ensuring quality, security, and compliance.

As a Senior Analyst in Marketing Analytics, you'll improve the Refer-a-Friend program through end-to-end analysis, design experimentation strategies, and collaborate with cross-functional teams.

Design and implement large-scale analytics data structures and ingestion pipelines (real-time and batch). Build ETL/ELT processes, participate in technical decisions, review code, and document architecture and solutions for analytics users.

Lead design and implementation of Snowflake-based data architectures. Build and optimize ETL pipelines with SnowSQL and Spark, tune performance, document designs, collaborate with stakeholders, and mentor junior engineers to deliver scalable cloud data solutions on AWS or Azure.

Leads strategic analytics for the Healthcare Product team, mentoring analysts and collaborating with various departments to enhance user experience and drive product decisions.

Lead the strategy and execution of real-world data capabilities, focusing on data lifecycle management, vendor relationships, and collaboration with various teams to deliver analysis-ready datasets.

As a Lead Data Engineer, you'll design and maintain data systems and pipelines using Snowflake, ensuring data quality and governance for AI applications.

Partner with Sales, Product, Engineering, and Operations to build the GTM analytics foundation for a new dealer software pillar. Own pipeline, install base, churn, demo-to-close, and launch analytics; identify and fix Salesforce/process gaps; create prospecting and churn-risk signals; write production-grade SQL on Snowflake and productionize assets in dbt; and maintain dashboards in Looker, Omni, and Salesforce CRM Analytics to drive measurable go-to-market execution.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.

Lead and scale enterprise data governance for GRS by directing a team and matrixed partners, operationalizing standards for data ownership, quality, lineage, metadata, and controls, aligning governance with risk and regulatory requirements, driving stakeholder adoption, and reporting governance maturity and risks to senior leadership.