EY
Databricks Data Engineer - Manager - Consulting - Location Open 1
EY, Louisville, Kentucky, us, 40201
Databricks Data Engineer - Manager - Consulting
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.
Overview 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.
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 business requirements are translated into effective technical solutions.
Key Responsibilities
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 on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
Implementing resource plans and budgets while managing engagement economics.
Skills and Attributes for Success
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, leveraging 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.
Qualifications
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.
Required Expertise for Managerial Role
Strategic leadership, aligning data engineering initiatives with organizational goals.
Project management, ensuring timely delivery and adherence to project scope.
Stakeholder engagement, presenting solutions effectively to executives and other stakeholders.
Change management, guiding clients through data transformation and technology adoption.
Risk management, identifying potential risks and developing mitigation strategies.
Technical leadership, making architectural decisions that impact project outcomes.
Documentation and reporting, communicating project progress and outcomes to clients.
Large‑Scale Implementation Programs
Enterprise Data Lake Implementation: Designed and deployed a cloud‑based data lake for a Fortune 500 retailer.
Real‑Time Analytics Platform: Managed the development of a real‑time analytics platform using Databricks for a financial services organization.
Data Warehouse Modernization: Oversaw modernization of a legacy data warehouse to a cloud‑native architecture for a healthcare provider.
Ideally, You’ll Also Have
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.
What We Look For We seek individuals who are technically proficient and possess the qualities of top performers, including collaboration, adaptability, and a passion for continuous learning. If you are driven by results and want to make a meaningful impact, we want to hear from you.
What We Offer You At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, fueling your extraordinary talents in a diverse, inclusive culture of globally connected teams. We offer a comprehensive compensation and benefits package, flexible vacation policy, and a hybrid model that balances in‑person and remote work.
Equal Employment Opportunity EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you have a disability and need assistance applying online or requesting an accommodation, please call 1‑800‑EY‑HELP3 or email ssc.customersupport@ey.com.
#J-18808-Ljbffr
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.
Overview 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.
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 business requirements are translated into effective technical solutions.
Key Responsibilities
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 on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
Implementing resource plans and budgets while managing engagement economics.
Skills and Attributes for Success
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, leveraging 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.
Qualifications
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.
Required Expertise for Managerial Role
Strategic leadership, aligning data engineering initiatives with organizational goals.
Project management, ensuring timely delivery and adherence to project scope.
Stakeholder engagement, presenting solutions effectively to executives and other stakeholders.
Change management, guiding clients through data transformation and technology adoption.
Risk management, identifying potential risks and developing mitigation strategies.
Technical leadership, making architectural decisions that impact project outcomes.
Documentation and reporting, communicating project progress and outcomes to clients.
Large‑Scale Implementation Programs
Enterprise Data Lake Implementation: Designed and deployed a cloud‑based data lake for a Fortune 500 retailer.
Real‑Time Analytics Platform: Managed the development of a real‑time analytics platform using Databricks for a financial services organization.
Data Warehouse Modernization: Oversaw modernization of a legacy data warehouse to a cloud‑native architecture for a healthcare provider.
Ideally, You’ll Also Have
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.
What We Look For We seek individuals who are technically proficient and possess the qualities of top performers, including collaboration, adaptability, and a passion for continuous learning. If you are driven by results and want to make a meaningful impact, we want to hear from you.
What We Offer You At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, fueling your extraordinary talents in a diverse, inclusive culture of globally connected teams. We offer a comprehensive compensation and benefits package, flexible vacation policy, and a hybrid model that balances in‑person and remote work.
Equal Employment Opportunity EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you have a disability and need assistance applying online or requesting an accommodation, please call 1‑800‑EY‑HELP3 or email ssc.customersupport@ey.com.
#J-18808-Ljbffr