Databricks Data Engineer - Senior - Consulting - Miami

Senior Databricks Data Engineer – Consulting – Miami (EY)

We’re 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.

• 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.
• Develop and implement data engineering solutions using Databricks on cloud platforms (AWS, Azure, GCP).
• Collaborate with clients to understand their 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 data lifecycle.
• Provide technical guidance and mentorship to junior data engineers.
• Communicate effectively with stakeholders, bridging technical and non‑technical audiences.
• Manage client relationships and expectations to ensure high satisfaction.
• Stay updated with the latest trends and technologies in data engineering and cloud computing.

• Bachelor’s degree in Computer Science, Engineering, or related field (4‑year). Master’s 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.
• 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 in a team.
• Strong communication and client‑management skills.

• Strategic thinking: align data engineering solutions with business strategy.
• Project management: manage multiple projects and ensure timely delivery.
• Stakeholder engagement: present solutions effectively to executives.
• Change management: guide clients through data transformation and technology adoption.
• Risk management:
  
  identify potential risks and develop mitigation strategies.
• Technical leadership: lead technical discussions and make architectural decisions.
• Documentation and reporting: create comprehensive documentation and reports.

• Data quality management experience.
• Semantics layers in data architecture.
• Knowledge of AWS, Azure, GCP data services.
• Data governance and compliance standards.
• Experience with machine learning frameworks and tools.

• Competitive base salary: $106,900 to $176,500 (US).
• Comprehensive benefits: medical, dental, pension, 401(k), and paid time off.
• Flexible hybrid work model (40–60% in person).
• Paid vacation policy with flexible accrual.
• Career development and future‑focused learning.
• Diverse and inclusive global culture.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans. For assistance, call 1-800-EY-HELP3 or email