Senior Consultant - Databricks Data Engineering

At EY, we are committed to powering your career and helping you create a more impactful workplace with a team that values diversity and collaboration.

Technology - Data and Decision Science - Data Engineering - Senior Consultant

We are looking for a skilled Senior Consultant in Data Engineering, specializing in cloud solutions and proficient in Databricks. Ideal candidates will have outstanding client management skills and a proven track record of delivering successful data engineering projects.

Your Role

In this exciting role, you will design and build analytics solutions that add significant business value. Collaborating with data professionals and stakeholders, you will ensure that technical requirements meet business goals, creating scalable data architecture and modeling solutions that support the entire data lifecycle.

Key Responsibilities

• Design and build scalable data architecture in cloud environments.
• Convert business requirements into detailed technical specifications.
• Optimize data flows to align with target architecture.
• Develop data engineering solutions using Databricks across platforms like AWS, Azure, and GCP.
• Interact with clients to understand their data needs and deliver customized solutions.
• Oversee the development of data pipelines, including ingestion, transformation, and storage processes.
• Maintain the highest standards of data quality, integrity, and security.
• Mentor junior data engineers and support team members.
• Effectively communicate complex data concepts to various stakeholders.
• Manage client relationships to ensure satisfaction and engagement.
• Stay updated on data engineering trends and cloud computing innovations.

This is an exceptional opportunity to work with cutting-edge technologies and stay ahead of industry advancements, providing a competitive edge in the market. Expect occasional travel to meet with external clients.

Skills and Attributes for Success

To thrive in this role, you need a mix of technical skills and interpersonal abilities, particularly effective communication and relationship-building skills. Key attributes include:

• Strong analytical and decision-making skills.
• Expertise in cloud computing and data architecture design.
• Experience with data integration and security practices.
• A talent for resolving complex challenges.

Qualifications Required

• A Bachelor's degree in Computer Science, Engineering, or a related field; a Master's degree is a plus.
• 2-4 years of hands-on experience in data engineering, focused on cloud solutions.
• 5+ years of experience in the data engineering field with a focus on cloud implementations.
• Proficiency in Databricks and experience with Spark for big data processing.
• Demonstrated success in at least two complete data engineering implementations.
• Strong programming skills in Python, Scala, or SQL.
• Experience in data modeling, ETL processes, and data warehousing.
• Proven problem-solving capabilities, with the ability to work independently and collaboratively.
• Excellent communication skills, especially in managing client relationships.

Required Expertise for Senior Consulting Projects

• Strategic Thinking: Ability to align data solutions with broader business strategies.
• Project Management: Experience managing multiple projects to ensure timely delivery and adherence to objectives.
• Stakeholder Engagement: Proficient in engaging stakeholders to understand their needs and present effective solutions.
• Change Management: Skills in guiding clients through data transformation initiatives.
• Risk Management: Ability to identify and mitigate potential project risks.
• Technical Leadership: Experience leading discussions and making impactful decisions.
• Documentation and Reporting: Capable of producing detailed documentation and reports for clients.

Additional Preferred Qualifications

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

What We Value

We are looking for adaptable, collaborative individuals who strive for excellence in their work.

What We Offer

Join EY and take advantage of a comprehensive compensation and benefits package. Your contributions will be acknowledged, and you will work in a culture that encourages professional growth and offers flexibility.

• Competitive base salary range: $106,900 to $176,500 in US locations. For specific areas like New York City Metro, Washington State, and California: $128,400 to $200,600.
• Hybrid work model, with in-person collaboration expected 40-60% of the time.
• Flexible vacation policy allowing you to manage your time off as needed.

Ready to elevate your career? Apply today and be part of our mission to build a better working world.

We uphold high ethical standards and expect all candidates to share these values.

EY | Building a better working world