Databricks Data Engineer - Senior - Consulting

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

Job Summary

We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks, to design and build analytics solutions that deliver significant business value. The role requires strong client management, communication skills, and a proven track record of end‑to‑end implementations.

The opportunity

This role focuses on creating scalable data architecture and modeling solutions, collaborating with data and analytics professionals, and ensuring technical requirements align with business needs.

Your

Key Responsibilities

• Design, build, and operate scalable 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 AWS, Azure, or GCP.
• Collaborate with clients to understand data needs and provide tailored solutions.
• Lead end‑to‑end data pipeline development, including ingestion, transformation, and storage.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Provide technical guidance and mentorship to junior data engineers.
• Communicate complex data concepts to technical and non‑technical stakeholders.
• Manage client relationships and expectations.
• Stay updated with latest trends and technologies in cloud computing.

Skills and Attributes for Success

• 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.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (master’s preferred).
• 5+ years of experience in data engineering with focus on cloud solutions.
• Expertise in Databricks and Spark for big data processing.
• Proven experience in at least two end‑to‑end data engineering implementations, including data lake and real‑time pipelines.
• Strong programming skills in Python, Scala, or SQL.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Excellent problem‑solving skills; ability to work independently and as part of a team.
• Strong communication and interpersonal skills with client‑management focus.

Required Expertise for Senior Consulting Projects

• Strategic thinking aligned with business strategies.
• Project management of multiple projects, ensuring timely delivery.
• Stakeholder engagement, including executives.
• Change management facilitation.
• Risk management and mitigation.
• Technical leadership and architectural decision making.
• Documentation and reporting of project progress.

Ideally You’ll Also Have

• Experience with data quality management.
• Familiarity with semantic layers, cloud platform data services.
• Knowledge of data governance and compliance standards.
• Experience with machine learning frameworks and tools.

What We Look For

We seek individuals who are technically proficient and possess qualities of top performers: adaptable, collaborative, and driven to achieve excellence in every project.

What We Offer

• Competitive compensation and benefits: base salary range $106,900–$176,500 in the US, $128,400–$200,600 in key metro areas. Plus medical, dental, pension, 401(k), and paid time off.
• Hybrid working model: 40–60% in‑person for external client‑serving roles.
• Flexible vacation policy tailored to personal circumstances, plus EY Paid Holidays and various leaves.

Application

Apply today. EY accepts applications on an ongoing basis.

Equal Employment Opportunity

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.

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