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Data Engineer – Senior Manager

SpringCube

Full time - Engineering Manager

Financial Advisory

United States, Boston - Massachusetts

Published 4 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading global professional services organization provides innovative data and analytics engineering solutions to clients across industries. The firm focuses on designing and building robust data infrastructures, cloud solutions, and analytics platforms to transform raw data into actionable insights. Their teams deliver strategic guidance, operational excellence, and technology expertise while fostering diverse and high-performing teams.

Summary
The Senior Manager for Data Engineering leads large-scale projects, drives innovation, and ensures operational excellence. This role combines technical expertise, strategic advising, and team leadership to deliver high-impact data architecture solutions, while interacting with clients to support informed decision-making and business growth.

Responsibilities

  • Design and implement comprehensive data architecture strategies
  • Lead large-scale data engineering projects and innovate processes
  • Maintain operational excellence and engage strategically with clients
  • Develop and document data models, data flow diagrams, and architecture guidelines
  • Ensure compliance with data governance and data security policies
  • Collaborate with business stakeholders to translate requirements into technical solutions
  • Drive project success through problem-solving and strategic guidance
  • Foster a diverse, inclusive, and high-performing team environment
  • Evaluate and recommend new data technologies and tools
  • Provide thought leadership in data strategy, engineering, and governance

Qualifications

  • Bachelor’s Degree in a relevant field
  • Minimum 8 years of experience in data engineering or related roles
  • Proven experience in leading large-scale data architecture projects
  • Strong knowledge of data modeling, data flow, and cloud-based solutions
  • Familiarity with data governance, security policies, and compliance standards
  • Excellent communication, leadership, and problem-solving skills

Preferred / Additional Skills

  • Certification in cloud platforms (e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer, Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core/Architect, Databricks Data Engineer Associate)
  • Experience developing leading practices for Data Engineering, Data Science, and Data Governance
  • Architecting and implementing cloud-based solutions that meet industry standards

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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