Principal Data Engineer

1 week ago

Somerville, MA, United States Cynet Systems Full time
Job Description:

Pay Range: $160000Years - $175000Years
  • We are seeking a highly skilled Principal Data Engineer to join the Digital Data Platform organization and lead the design and optimization of scalable, cloud-based data platforms.
  • This role focuses on leveraging DBT, Snowflake, and Azure DevOps (ADO) to build modern, automated, and intelligent data solutions.
  • The ideal candidate is a proactive leader who can guide technical strategy, mentor engineers, and drive innovation through AI/ML-driven automation.
Responsibilities:
  • Lead the Data Engineering Standards Center of Excellence (CoE), driving automation and best practices to accelerate development.
  • Enhance and administer DBT and CI/CD platform architecture for scalability, performance, and automation.
  • Design and build reusable, high-performance data pipelines using Snowflake, Python, and DBT.
  • Lead the design, development, and automation of CI/CD pipelines for data workflows using Azure DevOps, Git, and orchestration tools.
  • Evaluate and implement emerging features in DBT, CI/CD, and related technologies; define adoption strategies and support rollout to teams.
  • Serve as an escalation point for technical troubleshooting and problem resolution.
  • Utilize Python and AI technologies, including Large Language Models (LLMs), to automate and streamline the data management lifecycle.
  • Lead collaboration sessions and actively drive standard adoption and best practices across teams.
  • Proactively identify opportunities for innovation and platform expansion aligned with strategic goals.
  • Champion continuous improvement through agile delivery, platform upgrades, and process enhancements.
  • Mentor and guide data engineers at all levels, fostering a culture of technical excellence and continuous learning.
Requirement/Must Have:
  • Strong experience with DBT and Azure DevOps (ADO).
  • Proficiency in Snowflake or other cloud-based data platforms.
  • Demonstrated leadership ability to manage projects, communicate clearly, and guide teams.
  • Proven ability to collaborate cross-functionally and drive projects proactively without constant oversight.
  • Strong understanding of CI/CD practices and cloud data architecture.
Experience:
  • Extensive hands-on experience in data engineering, cloud data platforms, and CI/CD pipeline automation.
  • Prior experience leading technical teams or serving in a principal-level engineering role.
Skills:
  • Expertise in DBT, Snowflake, Azure DevOps, and Git.
  • Proficiency in Python for data engineering and automation.
  • Strong analytical, problem-solving, and communication skills.
  • Familiarity with AI/ML-driven automation and data lifecycle optimization.
  • bility to lead and mentor a high-performing team.
Qualification And Education:
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

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