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Manager of Data Engineering

EY

New York · flexible Full-time Lead 3w ago

About the role

The opportunity:

In this pivotal role, you will design and implement analytics solutions that deliver substantial business value. You will collaborate closely with a diverse range of data and analytics professionals, stakeholders, and management to ensure effective translation of business needs into technical solutions.

Key Responsibilities:

  • Lead the delivery of workstreams while maintaining high-quality standards.
  • Engage daily with clients, actively participating in working sessions to identify further service opportunities.
  • Implement resource plans and budgets while effectively managing engagement economics.
  • Keep abreast of the latest industry trends and emerging technologies to maintain our competitive edge.

To thrive in this role, you should:

  • Lead the creation of scalable data engineering solutions using Databricks on cloud platforms (AWS, Azure, GCP).
  • Oversee the architectural design of complex cloud analytics solutions to align with business objectives.
  • Manage and mentor a team of data engineers, promoting a culture of innovation and collaboration.
  • Ensure data quality, integrity, and security throughout the data lifecycle.
  • Drive end-to-end development of data pipelines, utilizing Databricks and other cloud services.
  • Communicate effectively with a range of stakeholders, translating complex data concepts into digestible formats.

Qualifications:

  • Bachelor's degree in computer science, engineering, or a related field; Master's degree preferred.
  • 4 - 6 years of relevant experience in data engineering focused on cloud solutions and analytics.
  • Proven expertise with Databricks and familiarity with Spark for processing big data.
  • Strong experience in building data architecture, particularly in cloud environments.
  • Excellent problem-solving abilities and communication skills.
  • Strong programming skills in languages such as Python, Scala, or SQL.

Required Expertise for Managerial Role:

  • Strategic leadership to align initiatives with organizational goals.
  • Manage multiple projects and ensure timely delivery.
  • Engage effectively with stakeholders to diagnose their needs and present solutions.
  • Guide clients through changes related to data transformation and technology adoption.
  • Identify risks in data projects and strategize accordingly.
  • Lead discussions on technical issues and make impactful architectural decisions.
  • Create documentation to report project progress clearly.

Join us:

If you’re driven by results and eager to make a meaningful impact in the realm of data analytics, we want to hear from you.

What We Offer:

We offer opportunities to learn and develop future-focused skills in a diverse and inclusive environment. Our compensation package includes a competitive salary, comprehensive benefits, and a flexible vacation policy. Join our dynamic team to help build a better working world.

This position may require regular travel based on client needs.

Skills

AWSAzureDatabricksGCPPythonScalaSparkSQL

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