Platform Principal Data Engineer

OverviewThe Opportunity: The Enterprise Principal Data Engineer is responsible for Data Engineering Standards CoE, driving automation and best practices to standardize and accelerate development. Responsible for overseeing the design, development, implementation, and maintenance of data solutions within the organization. Support team of data engineers, collaborating with cross-functional teams, data scientists, and business stakeholders to ensure the efficient and reliable management of data.What You'll DoEnhance and administer the DBT and CI/CD platform architecture to improve scalability, performance, and automation.Design and build reusable, high-performance data pipelines using technologies like Snowflake, Python, and DBT to support both operational and analytical needs.Lead the design, development and automation of CI/CD pipelines for data workflows using Azure DevOps, Git, and orchestration tools.Evaluate emerging features in DBT, CI/CD, and related tools; lead POCs, define adoption strategies, and support rollout to development teams.Act as an escalation point to troubleshoot and solve technical challenges.Leverage Python and cutting-edge AI technologies, including Large Language Models (LLMs), to automate and streamline the data management lifecycle—from intelligent metadata tagging and automated code validation to advanced data profiling and pipeline generation.Lead Data Engineering platform collaboration sessions and actively drive standard adoption and technical best practices.Proactively identify opportunities to innovate and expand platform capabilities in alignment with strategic goals.Champion continuous improvement through agile delivery, platform upgrades, and process innovation.Mentor and support engineers at all levels, fostering a strong culture of learning and technical excellence.What You'll BringBachelor's Degree Computer Science required or Bachelor's Degree Related Field of Study requiredMGB can consider experience in lieu of a degreeExperience in professional information technology positions 8-10+ years required and Data warehousing development in large reporting environment(s)5-7 years required and Experience working with data integration tools, ETL frameworks, and workflow management systems (e.g., Apache Airflow) required.2+ years of hands‑on experience in DBT tool development and administration. Experience in CI/CD pipeline development using Azure DevOps and Azure Git, including repository management and enforcing best practices. Experience with AI/ML technologies, including LLMs, to support platform automation and innovation. Strong attention to detail and a proactive approach to process improvement and standards development.Python experience.Highly Preferred: Proficient with DBT tool, comfortable designing, developing, and performing admin tasks. Strong understanding of CI/CD processes using Azure DevOps or Git.Platform support at enterprise scale highly preferredSkills for SuccessExpertise in data engineering principles, data modeling, ETL development, and data warehousing.Hands‑on experience with DBT, CI/CD pipelines, and cloud data platforms (Azure, Snowflake).Strong ability in building data pipelines using Snowflake features (Snowpipe, SnowSQL, SnowSight, Data Streams).Proficiency in working with relational databases (e.g., SQL Server, Oracle, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).This role is specifically for platform engineering rather than a development engineer position. As advertised, this role is more focused on platform-based engineering, administration.Working ModelWorking Model Hybrid Required, Somerville, MAOnsite 1-3x weekly, local or willing to relocate is required for weekly business needs that may vary depending on the project and includes more or less days per week, must be flexible.M-F Eastern Business Hours requiredRemote work requires stable, secure, quiet, compliant work station #J-18808-Ljbffr