Databricks Data Engineer - Manager - Consulting

Location:

Anywhere in Country

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.

We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills.

• Understand and analyze business requirements to translate them into technical requirements.
• Design, build, and operate scalable data architecture and modeling solutions.
• Stay up to date with the latest trends and emerging technologies to maintain a competitive edge.
• Lead workstream delivery and ensure quality in all processes.
• Engage with clients daily, actively participate in working sessions, and identify opportunities for additional services.
• Implement resource plans and budgets while managing engagement economics.

• Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
• Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices.
• Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
• Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value.
• Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.
• Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services.
• Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress.
• Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
• Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics.
• Strong analytical and problem‑solving abilities.
• Excellent communication skills, with the ability to convey complex information clearly.
• Proven experience in managing and delivering projects effectively.
• Ability to build and manage relationships with clients and stakeholders.

• 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.

• Strategic Leadership:
  Align data engineering initiatives with organizational goals and drive strategic vision.
• Project Management:
  Manage multiple projects and teams, ensuring timely delivery and adherence to scope.
• Stakeholder Engagement:
  Engage with executives and stakeholders to understand needs and present solutions effectively.
• Change Management:
  Guide clients through change processes related to data transformation and technology adoption.
• Risk Management:
  
  Identify potential risks in data projects and develop mitigation strategies.
• Technical Leadership:
  Lead technical discussions and make architectural decisions that impact project outcomes.
• Documentation and Reporting:
  C…