Manager of Data Engineering
EY
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
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