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Databricks Data Engineer - Senior - Consulting
Job in
Detroit, Wayne County, Michigan, 48228, USA
Listed on 2026-01-02
Listing for:
EY
Full Time
position Listed on 2026-01-02
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing
Job Description & How to Apply Below
About the Role
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.
- 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.
- 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.
- 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.
- 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. - Documentation and Reporting:
Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.
- Experience with data quality management.
- Familiarity with semantic layers in data architecture.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Knowledge of data governance and compliance standards.
- Experience with machine learning frameworks and tools.
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to…
Position Requirements
10+ Years
work experience
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