Databricks Data Engineer - Senior - Consulting - Miami

Databricks Data Engineer – Senior – Consulting – Miami

Location:

Anywhere in the US (Miami)

EY invites you to apply for the Databricks Data Engineer - Senior role. In this position you will design, build, and operate scalable analytics solutions that deliver significant business value using Databricks and cloud platforms.

• Design, build, and operate scalable data architecture on-premises or in the cloud.
• Analyze business requirements and translate them into technical specifications.
• Optimize data flows for target platform designs.
• Design, develop, and implement data engineering solutions using Databricks on AWS, Azure, or GCP.
• Collaborate with clients to understand data needs and provide tailored solutions.
• Lead end-to-end data pipeline development, including ingestion, transformation, and storage.
• Ensure data quality, integrity, and security throughout the lifecycle.
• Provide technical guidance and mentorship to junior data engineers.
• Communicate effectively with stakeholders, including technical and non‑technical audiences.
• Manage client relationships and expectations to ensure high satisfaction.
• Stay updated on trends in data engineering and cloud computing.

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
• 5+ years of data engineering experience focused on cloud solutions.
• Expertise in Databricks and Spark for big data processing.
• Proven experience with at least two end‑to‑end data engineering implementations (data lake, real‑time pipeline).
• 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 or as part of a team.
• Strong communication and interpersonal skills with a focus on client management.
• Strategic thinking, project management, stakeholder engagement, change and risk management, technical leadership, and documentation/reporting capabilities.
• Ideally: data quality management, semantic layers, cloud platform familiarity, data governance/compliance, machine learning tools knowledge.

• Base salary range: $106,900 – $176,500 (US); $128,400 – $200,600 (New York City, Washington, CA).
• Comprehensive benefits: medical, dental, pension, 401(k), paid time off.
• Hybrid work model: 40‑60% in‑office for client roles.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, national origin, protected veteran status, or disability status. EY is committed to providing reasonable accommodation for qualified individuals with disabilities. If you need assistance applying online or during the application process, please contact EY Talent Support.