EY
Databricks Data Engineer - Manager - Consulting - Location Open 1
EY, Tucson, Arizona, United States, 85718
Databricks Data Engineer - Manager - Consulting - Location Open 1
EY
Location: Anywhere in Country
Overview We look 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 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 design and development of scalable data engineering solutions using Databricks on cloud platforms (AWS, Azure, GCP).
Oversee 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 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.
Communicate effectively with stakeholders, conveying 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 (Master’s preferred).
Typically 4–6 years of relevant experience in data engineering, focusing 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, building complex cloud analytics solutions.
Experience in leading and managing teams, focusing on mentoring and developing talent.
Strong programming skills in Python, Scala, or SQL.
Excellent problem–solving skills and ability to work independently and as part of a team.
Strong communication and interpersonal skills, with a focus on client management.
Preferred Experience
Advanced data analytics tools and techniques.
Familiarity with machine learning concepts and applications.
Knowledge of industry trends and best practices in data engineering.
Experience with cloud platforms (AWS, Azure, GCP) and their data services.
Knowledge of data governance and compliance standards.
Experience with machine learning frameworks and tools.
Large‑Scale Implementation Programs
Enterprise Data Lake Implementation: Designed and deployed a cloud‑based data lake for a Fortune 500 retailer, integrating multiple data sources.
Real‑Time Analytics Platform: Managed development of real‑time analytics platform using Databricks for a financial services organization.
Data Warehouse Modernization: Oversaw modernization of legacy warehouse to cloud‑native architecture for a healthcare provider.
Compensation & Benefits
Base salary range: $125,500–$230,200 U.S. (varies by region). Additional benefits: medical and dental coverage, pension and 401(k) plans, paid time off.
Hybrid work model: 40–60% in‑person for client‑serving roles.
Flexible vacation policy aligned to personal circumstances.
How to Apply EY accepts applications on an ongoing basis. If you are ready to shape your future with confidence, apply today. For those living in California, please refer to the additional information provided.
Equal Opportunity Statement EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.
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EY
Location: Anywhere in Country
Overview We look 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 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 design and development of scalable data engineering solutions using Databricks on cloud platforms (AWS, Azure, GCP).
Oversee 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 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.
Communicate effectively with stakeholders, conveying 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 (Master’s preferred).
Typically 4–6 years of relevant experience in data engineering, focusing 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, building complex cloud analytics solutions.
Experience in leading and managing teams, focusing on mentoring and developing talent.
Strong programming skills in Python, Scala, or SQL.
Excellent problem–solving skills and ability to work independently and as part of a team.
Strong communication and interpersonal skills, with a focus on client management.
Preferred Experience
Advanced data analytics tools and techniques.
Familiarity with machine learning concepts and applications.
Knowledge of industry trends and best practices in data engineering.
Experience with cloud platforms (AWS, Azure, GCP) and their data services.
Knowledge of data governance and compliance standards.
Experience with machine learning frameworks and tools.
Large‑Scale Implementation Programs
Enterprise Data Lake Implementation: Designed and deployed a cloud‑based data lake for a Fortune 500 retailer, integrating multiple data sources.
Real‑Time Analytics Platform: Managed development of real‑time analytics platform using Databricks for a financial services organization.
Data Warehouse Modernization: Oversaw modernization of legacy warehouse to cloud‑native architecture for a healthcare provider.
Compensation & Benefits
Base salary range: $125,500–$230,200 U.S. (varies by region). Additional benefits: medical and dental coverage, pension and 401(k) plans, paid time off.
Hybrid work model: 40–60% in‑person for client‑serving roles.
Flexible vacation policy aligned to personal circumstances.
How to Apply EY accepts applications on an ongoing basis. If you are ready to shape your future with confidence, apply today. For those living in California, please refer to the additional information provided.
Equal Opportunity Statement EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.
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