Data Engineering Manager

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profile Job Location:

Boston, NH - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Data Engineering Manager
Hybrid (3x/wk onsite) - Boston MA

Position Overview:

We are looking for a Data Engineering Manager who combines strong traditional data warehousing experience with expertise in modern data engineering technologies. You will lead initiatives across cloud platforms data orchestration frameworks and transformation tools to deliver scalable reliable and business-critical data solutions. This is a hands-on leadership role guiding a small team and collaborating with both business and technical stakeholders to shape the future of our enterprise data landscape.

Key Responsibilities:

  • Design implement and manage modern data pipelines using Snowflake DBT Apache Airflow and Azure Data Pipelines.

  • Lead the migration and modernization of legacy ETL processes (Informatica PowerCenter) to scalable cloud-based architectures.

  • Integrate diverse data sources including on-prem and cloud databases APIs XML feeds and third-party systems.

  • Collaborate with business stakeholders to translate requirements into efficient well-architected data solutions.

  • Develop and maintain dimensional models and robust data transformation logic aligned with business definitions.

  • Lead a team of up to 4 offshore/Onshore developers: assign tasks validate deliverables and provide technical guidance and also on call support when required.

  • Maintain detailed technical documentation and contribute to architectural roadmaps.

Required Qualifications:

  • 5 years of experience in data engineering or data warehousing environments.

  • Strong hands-on experience with:

  • Snowflake (data modeling optimization performance tuning) DBT (Data Build Tool) for transformation and data testing and Apache Airflow

  • Azure Data Factory / Azure DevOps Pipelines for CI/CD and data integration

  • Working knowledge of Informatica PowerCenter and experience in transitioning ETL workloads from legacy tools.

  • Bachelors degree in computer science Information Systems or related field.

Preferred Qualifications:

  • Experience with cloud-based platforms (e.g. Azure AWS or GCP) and data lake architecture.

  • Exposure to big data tools (Spark Kafka Delta Lake) and predictive analytics workflows.

  • Working experience with Data science team.

  • Familiarity with CI/CD and version control (Git Azure Repos etc.).

  • Prior experience with Adobe Campaign or other digital marketing platforms is a plus.

Benefits

  • 50% Discount on GCC trips

  • Robust healthcare benefits including medical dental vision and flex spending accounts

  • 401k Retirement Savings account with company match

  • Generous Paid time off (PTO)

  • Paid holidays throughout the year

  • Early release summer Fridays

  • Company-paid life insurance

  • Paid short- and long-term disability insurance

  • Discounted auto and renters insurance

  • Volunteer and philanthropy opportunities to give back in Boston and where we travel

  • Casual dress code every day


Required Experience:

Manager

Data Engineering ManagerHybrid (3x/wk onsite) - Boston MA Position Overview: We are looking for a Data Engineering Manager who combines strong traditional data warehousing experience with expertise in modern data engineering technologies. You will lead initiatives across cloud platforms data orchest...
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Key Skills

  • Hospitality Experience
  • Go
  • Management Experience
  • React
  • Redux
  • Node.js
  • AWS
  • Mechanical Engineering
  • Team Management
  • Leadership Experience
  • Mentoring
  • Distributed Systems