EY
Databricks Data Engineer - Manager - Consulting - Location Open 1
EY, Grand Rapids, Michigan, us, 49528
Databricks Data Engineer – Manager – Consulting – Location Open 1
Join EY as a Databricks Data Engineer – Manager – Consulting. 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.
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.
Technology – Data and Decision Science – Data Engineering – Manager 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.
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.
To Qualify for the Role
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: 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.
Large-Scale Implementation Programs
Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client.
Real-Time Analytics Platform: Managed the development of a real-time analytics platform using Databricks for a financial services organization.
Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider.
Ideally, You’ll Also Have
Experience with advanced data analytics tools and techniques.
Familiarity with machine learning concepts and applications.
Knowledge of industry trends and best practices 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 not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you.
What We Offer You
A comprehensive compensation and benefits package with base salary ranging from $125,500 to $230,200 for U.S. locations, and additional benefits including medical and dental coverage, pension and 401(k) plans, and paid time off.
Work in a flexible environment with a hybrid model, with the expectation of 40–60% in-person engagement for client-serving roles.
A flexible vacation policy that lets you decide how much vacation time you need, along with paid holidays and additional leaves of absence.
Apply Today EY accepts applications for this position on an ongoing basis. If you are located in California, please click the provided link for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
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, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities. For assistance with accommodations, please contact 1‑800‑EY‑HELP3.
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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.
Technology – Data and Decision Science – Data Engineering – Manager 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.
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.
To Qualify for the Role
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: 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.
Large-Scale Implementation Programs
Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client.
Real-Time Analytics Platform: Managed the development of a real-time analytics platform using Databricks for a financial services organization.
Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider.
Ideally, You’ll Also Have
Experience with advanced data analytics tools and techniques.
Familiarity with machine learning concepts and applications.
Knowledge of industry trends and best practices 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 not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you.
What We Offer You
A comprehensive compensation and benefits package with base salary ranging from $125,500 to $230,200 for U.S. locations, and additional benefits including medical and dental coverage, pension and 401(k) plans, and paid time off.
Work in a flexible environment with a hybrid model, with the expectation of 40–60% in-person engagement for client-serving roles.
A flexible vacation policy that lets you decide how much vacation time you need, along with paid holidays and additional leaves of absence.
Apply Today EY accepts applications for this position on an ongoing basis. If you are located in California, please click the provided link for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
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, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities. For assistance with accommodations, please contact 1‑800‑EY‑HELP3.
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