Job Details

Databricks Data Engineer – Manager – Consulting – Location Open 1

Join EY, a global professional services firm, to lead data engineering teams in designing and implementing complex cloud analytics solutions focused on Databricks. The role is remote, eligible for any location in the country.

Technology – Data & Decision Science – Data Engineering – Manager

We are looking for a dynamic, experienced Manager of Data Engineering to guide our team in delivering high‑value analytics solutions. The ideal candidate will have deep technical expertise in data architecture, cloud technologies, and analytics, plus strong leadership and client‑management skills.

Opportunity

In this role you will design and build analytics solutions that drive business value, collaborating with data scientists, managers, and stakeholders to translate requirements into effective technical solutions.

Key Responsibilities

• Understand and analyze business requirements to translate them into technical specifications.
• Design, build, and operate scalable data architecture and modeling solutions.
• Stay up to date with latest trends and emerging technologies.
• Lead workstream delivery and ensure quality across all processes.
• Engage with clients daily, participate in working sessions, and identify opportunities for additional services.
• Implement resource plans and budgets while managing engagement economics, including travel as required.

Skills and Attributes for Success

• Lead the design and development of scalable data engineering solutions using Databricks on AWS, Azure, or GCP.
• Oversee complex cloud analytics architectures aligned with business objectives.
• Manage and mentor a team of data engineers, fostering innovation and continuous improvement.
• Collaborate with clients to understand analytics needs and deliver tailored solutions.
• Ensure data integrity, security, and governance throughout the data lifecycle.
• Drive end‑to‑end data pipeline development, including ingestion, transformation, and storage.
• Communicate effectively with technical and non‑technical stakeholders.
• Maintain strong client relationships and expectations.
• Stay abreast of trends in data engineering, cloud computing, and analytics.
• Possess strong analytical, problem‑solving, and communication skills.
• Have proven experience in managing and delivering projects effectively.
• Build and manage relationships with clients and stakeholders.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).
• 4–6 years of experience in data engineering, focusing on cloud data solutions and analytics.
• Proven expertise in Databricks and Spark.
• Strong background in data architecture and designing complex cloud analytics solutions.
• Experience leading and mentoring teams.
• Programming skills in Python, Scala, or SQL.
• Excellent problem‑solving and teamwork abilities.
• Strong communication and interpersonal skills, with client‑management focus.

Managerial Expertise

• Strategic leadership and alignment of data initiatives with organizational goals.
• Project management across multiple projects and teams, ensuring timely delivery.
• Stakeholder engagement at executive and operational levels.
• Change and risk management in data projects.
• Technical leadership and architectural decision‑making.
• Documentation and reporting of project progress.

Large‑Scale Implementation Programs

• Enterprise Data Lake Implementation for a Fortune 500 retailer, integrating multi‑source data for advanced analytics.
• Real‑Time Analytics Platform for a financial services client, enabling fraud detection via Databricks streaming.
• Data Warehouse Modernization for a healthcare provider, transitioning to a cloud‑native architecture.

Additional Desired Experience

• Advanced analytics tools and techniques.
• Machine learning concepts and applications.
• Industry trend knowledge and best practices.
• Familiarity with AWS, Azure, GCP data services.
• Data governance and compliance standards.
• Experience with machine learning frameworks.

What We Look For

We seek individuals who are technically proficient, collaborative, adaptable, and passionate about continuous learning. If you are driven by results and eager to impact, we want to hear from you.

What We Offer You

• Comprehensive compensation and benefits, with base salary ranging from $125,500 to $230,200 (US geographic ranges apply).
• Medical, dental, pension, 401(k), and paid time off benefits.
• Flexible hybrid working model, predominantly in‑person collaboration.
• Paid leave policy based on personal circumstances.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity, and expects all candidates to demonstrate these qualities.

EY - Building a better working world. 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, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology
• Professional Services

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