Databricks Data Engineer - Senior - Consulting - Miami

Databricks Data Engineer - Senior - Consulting - Miami

Location:

Anywhere in Country

At EY, we’re all in to shape your future with confidence. We’ll 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.

Technology – Data and Decision Science – Data Engineering – Senior

• Designing, building, and operating scalable on-premises or cloud data architecture.
• Analyzing business requirements and translating them into technical specifications.
• Optimizing data flows for target data platform designs.
• Design, 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 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.

• Bachelor’s degree in Computer Science, Engineering, or a related field required. Master’s degree preferred.
• 5+ years of experience in data engineering with a focus on cloud data solutions.
• Expertise in Databricks and experience with 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.
• 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: align data engineering solutions with business strategies and objectives.
• Project management: manage multiple projects simultaneously, ensuring timely delivery and adherence to scope.
• Stakeholder engagement: engage executives and other stakeholders to understand needs and present solutions effectively.
• Change management: guide clients through change processes related to data transformation and technology adoption.
• Risk management:
  
  identify potential risks in data projects and develop mitigation strategies.
• Technical leadership: lead technical discussions and make architectural decisions impacting project outcomes.
• Documentation and reporting: create comprehensive documentation and reports to communicate project progress and outcomes to clients.

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

We offer a comprehensive compensation and benefits package, including medical and dental coverage, pension and 401(k) plans, and paid time off.

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

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and need assistance applying online or require accommodations during the application process, please contact EY’s Talent Shared Services Team.