Databricks Data Engineer - Senior - Consulting

Databricks Data Engineer - Senior - Consulting - Location Open 1

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 build a better working world.

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.

• 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.
• Designing, developing, and implementing data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
• Collaborating with clients to understand their data needs and provide tailored solutions that meet their business objectives.
• Leading end‑to‑end data pipeline development, including data ingestion, transformation, and storage.
• Ensuring data quality, integrity, and security throughout the data lifecycle.
• Providing technical guidance and mentorship to junior data engineers and team members.
• Communicating effectively with stakeholders, including technical and non‑technical audiences, to convey complex data concepts.
• Managing client relationships and expectations, ensuring high levels of satisfaction and engagement.
• Staying 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.

• 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.

• A Bachelor’s degree in Computer Science, Engineering, or a related field (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.

• Strategic Thinking:
  Ability to align data engineering solutions with business strategies and objectives.
• Project Management:
  Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope.
• Stakeholder Engagement:
  Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
• Change Management:
  Skills in guiding clients through change processes related to data transformation and technology adoption.
• Risk Management:
  
  Ability to identify potential risks in data projects and develop mitigation strategies.
• Technical Leadership:
  Experience in leading technical discussions and making architectural decisions that impact project outcomes.
• D…