Note: The job is a remote job and is open to candidates in USA. EY is a globally connected powerhouse seeking a dynamic and experienced Manager of Data Engineering to lead their team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The role involves collaborating with data professionals and stakeholders to deliver significant business value through effective technical solutions.
Responsibilities
- Leading workstream delivery and ensuring quality in all processes
- Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services
- Implementing resource plans and budgets while managing engagement economics
Skills
- Bachelor's degree in computer science, Engineering, or a related field required
- Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics
- Proven expertise in Databricks and experience with Spark for big data processing
- Strong background in data architecture and design, with experience in building complex cloud analytics solutions
- Experience in leading and managing teams, with a focus on mentoring and developing talent
- Strong programming skills in languages such as Python, Scala, or SQL
- Excellent problem-solving skills and the ability to work independently and as part of a team
- Strong communication and interpersonal skills, with a focus on client management
- Strategic Leadership: Ability to align data engineering initiatives with organizational goals and drive strategic vision
- Project Management: Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope
- Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively
- Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption
- Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies
- Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes
- Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients
- Master's degree preferred
- Experience with advanced data analytics tools and techniques
- Familiarity with machine learning concepts and applications
- Knowledge of industry trends and best practices in data engineering
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services
- Knowledge of data governance and compliance standards
- Experience with machine learning frameworks and tools
Benefits
- Medical and dental coverage
- Pension and 401(k) plans
- A wide range of paid time off options
- Team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year
- Flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances
- Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being
Company Overview
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