Databricks Data Engineer - Senior - Consulting - Miami

Location:

Anywhere in Country

At EY, we’re all in to shape your future with confidence. We will 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 to build a better working world.

We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end‑to‑end implementations in data engineering projects.

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 technical requirements align with business needs. Your responsibilities include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle.

• Design, build, and operate scalable on‑premises or cloud data architecture.
• Analyze business requirements and translate them into technical specifications.
• Optimize data flows for target data platform designs.
• Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
• Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives.
• Lead end‑to‑end data pipeline development, including data ingestion, transformation, and storage.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Provide technical guidance and mentorship to junior data engineers and team members.
• Communicate effectively with stakeholders, including technical and non‑technical audiences, to convey complex data concepts.
• Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
• Stay updated with the latest trends and technologies in data engineering and cloud computing.

• Strong analytical and decision‑making skills.
• Proficiency in cloud computing and data architecture design.
• Experience in data integration and security.
• Ability to manage complex problem‑solving scenarios.

• Bachelor’s degree in Computer Science, Engineering, or related field (4‑year degree). Master’s degree preferred.
• 5+ years of experience in data engineering with a focus on cloud data solutions.
• Expertise in Databricks and Spark for big data processing.
• Proven experience in at least two end‑to‑end data engineering implementations, including a data lake solution and a real‑time data processing pipeline using Databricks.
• Strong programming skills in Python, Scala, or SQL.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• 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 thinking and aligning data engineering solutions with business strategies.
• Project management experience, ensuring timely delivery and adherence to scope.
• Stakeholder engagement, including executives, to understand needs and present solutions.
• Change management, guiding clients through data transformation and technology adoption.
• Risk management, identifying potential risks and developing mitigation strategies.
• Technical leadership, leading technical discussions and making architectural decisions.
• Documentation and reporting to communicate project progress and outcomes.

• A comprehensive compensation and benefits package based on performance and value to the business.
• Flexible hybrid work environment and flexible vacation policy.
• Op for professional development and learning in a diverse, inclusive culture.

Apply today. EY accepts applications for this position on an ongoing basis. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY is an equal…