Databricks Data Engineer - Senior - Consulting

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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, a proven track record of successful end‑to‑end implementations, and the ability to translate business needs into scalable data solutions.

• 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 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.
• 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) required;
  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 data lake and real‑time pipeline solutions.
• 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 to align data engineering solutions with business strategies and objectives.
• Project management experience, managing multiple projects to ensure timely delivery and scope adherence.
• Stakeholder engagement, including executives, to understand needs and present solutions.
• Change management skills to guide clients through data transformation and technology adoption.
• Risk management ability to identify potential risks and develop mitigation strategies.
• Technical leadership in architectural decisions impacting project outcomes.
• Documentation and reporting proficiency to communicate progress and outcomes to clients.

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

We seek individuals who are not only technically proficient but also possess qualities of top performers: adaptability, collaboration, and a drive to achieve excellence in every project.

• A comprehensive compensation and benefits package, with base salary ranges $106,900–$176,500 nationwide and $128,400–$200,600 for selected metros.
• Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• A hybrid work model with 40–60% onsite collaboration for client‑serving roles.
• Flexible vacation policy designed around individual circumstances.

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. If you have a disability and need assistance applying online or request an accommodation, please contact 1‑800‑EY‑HELP3 (Option 2 for candidate related inquiries, Option 1 for candidate queries, then Option 2 for accommodations) or email