Databricks Data Engineer - Manager - Consulting

Databricks Data Engineer – Manager – Consulting – Location Open 1 – EY

Location:

Anywhere in Country (Remote)

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

• 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 daily, actively participating in working sessions, and identifying opportunities for additional services.
• Implementing resource plans and budgets while managing engagement economics.

• Bachelor’s degree in computer science, engineering, or a related field required;
  Master’s degree preferred.
• Typically, no less than 4 – 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.
• Proven expertise in Databricks and experience with Spark for big data processing.
• Strong background in data architecture and design, with experience in building complex cloud analytics solutions.
• Experience in leading and managing teams, with a focus on mentoring and developing talent.
• Strong programming skills in languages such as Python, Scala, or SQL.
• 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 Leadership:
  Ability to align data engineering initiatives with organizational goals and drive strategic vision.
• Project Management:
  Experience in managing multiple projects and teams, 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.

• Enterprise Data Lake Implementation:
  Led the design and deployment of a cloud‑based data lake solution for a Fortune 500 client, integrating data from multiple sources to enable advanced analytics and reporting.
• Real‑Time Analytics Platform:
  Managed the development of a real‑time analytics platform using Databricks for a financial services organization, enabling real‑time fraud detection and risk assessment through streaming data ingestion and processing.
• Data Warehouse Modernization:
  Oversaw the modernization of a legacy data warehouse to a cloud‑native architecture, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting.

• Experience with advanced data analytics tools and techniques.
• Familiarity with machine learning concepts and applications.
• Knowledge of industry trends and best practices in data engineering.
• 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.

• Competitive base salary ranging from $125,500 to $230,200 (US) with higher ranges for select metros.
• Comprehensive benefits package, including medical, dental, pension, 401(k) plans, and paid time…