Databricks Data Engineer - Manager - Consulting - Miami

Databricks Data Engineer - Manager - Consulting - Miami

Location:

Anywhere in Country

At EY, we empower employees to shape their futures with confidence. We provide a global, diverse working environment where your career can thrive.

EY is seeking a dynamic, experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The role demands deep technical expertise in data architecture, cloud technologies, analytics, and 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, ensuring quality in all processes.
• Engage with clients on a daily basis, participating in working sessions and identifying 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 (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 analytics needs and deliver tailored solutions that drive business value.
• Ensure quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.
• Drive end‑to‑end data pipeline development, including 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.
• Build and maintain relationships with clients and stakeholders.

• Bachelor’s degree in computer science, engineering, or related field (Master’s preferred).
• 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, building complex cloud analytics solutions.
• Experience leading and managing teams, mentoring and developing talent.
• Strong programming skills in Python, Scala, or SQL.
• Excellent problem‑solving skills and ability to work independently and as part of a team.
• Strong communication and interpersonal skills, with a focus on client management.

• Strategic leadership and alignment of data engineering initiatives with organizational goals.
• Project management experience, ensuring timely delivery and adherence to scope.
• Stakeholder engagement and presentation of solutions to executives.
• Risk, change, and documentation management in data projects.
• Technical leadership, making architectural decisions that impact project outcomes.
• Comprehensive documentation and reporting to communicate progress and outcomes to clients.

• Enterprise Data Lake Implementation:
  Designed and deployed a cloud‑based data lake for a Fortune 500 client.
• Real‑Time Analytics Platform:
  Managed development of a real‑time analytics platform using Databricks for fraud detection.
• Data Warehouse Modernization:
  Oversaw modernization of a legacy data warehouse for a healthcare provider.

• Experience with advanced data analytics tools and techniques.
• Familiarity with…