Databricks Data Engineer - Senior - Consulting

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

Location:

Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Technology – Data and Decision Science – Data Engineering – Senior

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, along with a proven track record of successful end-to-end implementations in data engineering projects.

The opportunity

In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle.

Your key responsibilities

As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including:

• Designing, building, and operating scalable on-premises or cloud data architecture.
• Analyzing business requirements and translating them into technical specifications.
• Optimizing data flows for target data platform designs.
• Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
• Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives.
• 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, to convey complex data concepts.
• 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.

This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients.

Skills and attributes for success

To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for:

• 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.

To qualify for the role, you must have

• A Bachelor’s degree in Computer Science, Engineering, or a related field required (4‑year degree). Master’s degree preferred.
• Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions.
• 5+ years of experience in data engineering, with a focus 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:
• Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence.
• Development of a real‑time data processing pipeline using Databricks and cloud services, delivering insights for operational decision‑making.
• Strong programming skills in languages such as Python, Scala, or SQL.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Excellent problem‑solving skills and the ability to work independently and as part of a team.
• Strong communication and interpersonal skills, with a focus on client management.

Required Expertise for Senior Consulting Projects

• Strategic Thinking: Ability to align data…