Databricks Data Engineer - Senior - Consulting - Miami

Location

Anywhere in Country

Technology – Data and Decision Science – Data Engineering – Senior

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 will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle.

• 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 (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 a related field (4‑year degree). Master’s degree preferred.
• 5+ years of experience in data engineering, focusing 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 using Databricks 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 the ability to work independently and as part of a team.
• Strong communication and interpersonal skills, with a focus on client management.

• Strategic Thinking:
  Ability to align data engineering solutions with business strategies and objectives.
• Project Management:
  Experience in managing multiple projects simultaneously.
• Stakeholder Engagement:
  Proficiency in engaging with various stakeholders, including executives.
• Change Management:
  Skills in guiding clients through change processes.
• Risk Management:
  
  Ability to identify potential risks and develop mitigation strategies.
• Technical Leadership:
  Experience in leading technical discussions and making architectural decisions.
• Documentation and Reporting:
  Proficiency in creating comprehensive documentation and reports.

• Experience with data quality management.
• Familiarity with semantic layers in data architecture.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
• Knowledge of data governance and compliance standards.
• Experience with machine learning frameworks and tools.

• Competitive base salary, health, dental, pension and 401(k) plans, paid time off.
• Hybrid work model: 40‑60% in‑person for external client roles.
• Flexible vacation policy.

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. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.