Databricks Data Engineer - Manager - Consulting

Position: Databricks Data Engineer - Manager - Consulting - Location Open 1

Databricks Data Engineer - Manager - Consulting

Location:

Anywhere in Country

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Overview

We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills.

Key Responsibilities

• Understanding and analyzing business requirements to translate them into technical requirements.
• Designing, building, and operating scalable data architecture and modeling solutions.
• Staying up to date with the latest trends and emerging technologies to maintain a competitive edge.
• Leading workstream delivery and ensuring quality in all processes.
• Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
• Implementing resource plans and budgets while managing engagement economics.

Skills and Attributes for Success

• Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (AWS, Azure, GCP).
• Oversee the architecture of complex cloud analytics solutions.
• Manage and mentor a team of data engineers.
• Collaborate with clients to understand analytics needs and deliver tailored solutions.
• Ensure data quality, integrity, and security throughout the lifecycle.
• Drive end‑to‑end data pipeline development.
• Communicate effectively with stakeholders.
• Manage client relationships and expectations.
• Stay abreast of latest trends and technologies.
• Strong analytical and problem‑solving abilities.
• Excellent communication skills.
• Proven experience in managing and delivering projects effectively.
• Ability to build and manage relationships with clients and stakeholders.

Qualifications

• Bachelor’s degree in computer science, engineering, or a related field (Master’s preferred).
• 4‑6 years of relevant experience in data engineering, focusing on cloud data solutions and analytics.
• Proven expertise in Databricks and Spark.
• Strong background in data architecture and design.
• Experience in leading and managing teams.
• Strong programming skills in Python, Scala, or SQL.
• 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.

Managerial Expertise

• Strategic leadership and alignment with organizational goals.
• Project management – managing multiple projects and teams.
• Stakeholder engagement – engaging executives and other stakeholders.
• Change management and risk mitigation.
• Technical leadership and architectural decisions.
• Documentation and reporting.

Large-Scale Implementation Experience

• Enterprise Data Lake Implementation for Fortune 500 retail client.
• Real‑Time Analytics Platform for financial services organization.
• Data Warehouse Modernization for healthcare provider.

Preferred Additional Experience

• Advanced data analytics tools and techniques.
• Knowledge of machine learning concepts and applications.
• Familiarity with cloud platforms and their data services.
• Knowledge of data governance and compliance standards.
• Experience with machine learning frameworks and tools.

What We Offer You

• Comprehensive compensation and benefits package.
• Hybrid work model – 40–60% in office.
• Flexible vacation policy.

Senior Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industry

Professional Services

Equal Opportunity Employment

Apply for this position on an on‑going basis. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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 including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

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