Databricks Data Engineer - Manager - Consulting - Miami

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Location:

Anywhere in Country

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.

In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions.

• Understanding and analyzing business requirements to translate them into technical requirements.
• Designing, building, and operating scalable data architecture and modeling solutions.
• Staying up to date with the latest trends and emerging technologies to maintain a competitive edge.
• Leading workstream delivery and ensuring quality in all processes.
• Engaging with clients on a daily basis and identifying opportunities for additional services.
• Implementing resource plans and budgets while managing engagement economics.

• Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms.
• Oversee the architecture of complex cloud analytics solutions.
• Manage and mentor a team of data engineers.
• Collaborate with clients to understand their analytics needs and deliver tailored solutions.
• Ensure the quality, integrity, and security of data throughout the data lifecycle.
• Drive end-to-end data pipeline development.
• Communicate effectively with stakeholders.
• Manage client relationships and expectations.
• Stay abreast of the latest trends and technologies.
• Strong analytical and problem‑solving abilities.
• Excellent communication skills.
• Proven experience in managing and delivering projects effectively.

• Bachelor’s degree in computer science, Engineering, or a related field;
  Master’s degree preferred.
• 4 – 6 years relevant experience in data engineering, focusing on cloud data solutions and analytics.
• Proven expertise in Databricks and Spark for big data processing.
• Strong background in data architecture and design.
• Experience in leading and managing teams, mentoring and developing talent.
• Strong programming skills in Python, Scala, or SQL.
• Excellent problem‑solving skills.
• Strong communication and interpersonal skills; focus on client management.

• Strategic Leadership:
  Ability to align data engineering initiatives with organizational goals.
• Project Management:
  Experience managing multiple projects and teams.
• Stakeholder Engagement:
  Proficiency in engaging with executives.
• Change Management:
  Skills guiding clients through change processes.
• Risk Management:
  
  Ability to identify potential risks and develop mitigation strategies.
• Technical Leadership:
  Experience leading technical discussions and making architectural decisions.
• Documentation and Reporting:
  Proficiency in creating comprehensive documentation and reports.

• Comprehensive compensation and benefits package.
• Flexible vacation policy.
• Hybrid model with in‑person collaboration.

EY accepts applications for this position on an on‑going basis.