Databricks Data Engineer - Manager - Consulting - Miami
Listed on 2026-01-16
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IT/Tech
Data Engineer, Data Science Manager
Join to apply for the Databricks Data Engineer - Manager - Consulting - Miami role at EY
Location:
Anywhere in Country
Technology – Data and Decision Science – Data Engineering – Manager
OverviewAt 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.
We’ll help you build a better working world. About the RoleWe 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.
syndKey Responsibilities
- Understanding and analyzing business requirements to translate them into technical requirements.
- Designing, building, and operating scalable data and modeling solutions.
- Staying up to date DRIVER_ with the latest trends and emerging technologies to maintain a competitive edge.
- Leading workstream delivery and ensuring quality in all processes.
- Engaging with clients on a daily basis, actively participating in working sessions, and identifyingnk opportunities for additional services.
- Implementing resource plans and budgets while managing engagement economics.
This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. Travel may be required regularly based on client needs.
Skills and Expertise- Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
- Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices.
- Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
- Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value.
- Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.
- Drive end‑to‑end data pipeline development, including data ingestion, transformation, and storage несовпадزين manipulating Databricks and other cloud services.
- Communicate effectively with stakeholders, including technical and non‑technical audiences, to convey complex data concepts and project progress.
- Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
- Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics.
- Strong analytical and problem‑solving abilities.
- Excellent communication skills, with the ability to convey complex information clearly.
- Proven experience in managing and delivering projects effectively.
- Ability to build and manage relationships with clients and stakeholders.
- 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. ေလ
- Excellent problem‑solving skills and the ability to serialized 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…
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