[Remote] Databricks Data Engineer - Manager - Consulting - Location OPEN

Note: The job is a remote job and is open to candidates in USA. EY is a global leader in assurance, consulting, tax, and transactions, dedicated to building a better working world. They are seeking a Manager of Data Engineering to lead the design and implementation of complex cloud analytics solutions with a focus on Databricks, collaborating with teams to translate business requirements into 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; Master's degree preferred
• 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
• Ability to align data engineering initiatives with organizational goals and drive strategic vision
• Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope
• Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively
• Skills in guiding clients through change processes related to data transformation and technology adoption
• Ability to identify potential risks in data projects and develop mitigation strategies
• Experience in leading technical discussions and making architectural decisions that impact project outcomes
• Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients
• 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
• Flexible vacation policy
• 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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