EY
Databricks Data Engineer - Manager - Consulting - Location Open 1
EY, Salt Lake City, Utah, United States, 84193
Databricks Data Engineer – Manager – Consulting – Location Open 1
Join EY to apply for the Databricks Data Engineer – Manager – Consulting – Location Open 1 role at EY.
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.
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.
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 (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 latest trends and technologies in data engineering, cloud computing, and analytics.
Strong analytical and problem‑solving abilities.
Excellent communication skills.
Proven experience in managing and delivering projects effectively.
Ability to build and manage relationships with clients and stakeholders.
To qualify for the role, you must have
Bachelor’s degree in computer science, engineering or related field required; Master’s preferred.
4‑6 years of relevant experience in data engineering, focusing on cloud data solutions and analytics.
Proven expertise in Databricks and Spark for big data processing.Strong background in data architecture and design, building complex cloud analytics solutions.
Experience in leading and managing teams with a focus on mentoring.
Strong programming skills in Python, Scala, or SQL.
Excellent problem‑solving and independent teamwork skills.
Strong communication and interpersonal skills, with a focus on client management.
Required expertise for managerial role
Strategic Leadership: Align data engineering initiatives with organizational goals.
Project Management: Manage multiple projects and teams, ensuring timely delivery.
Stakeholder Engagement: Engage executives and stakeholders to understand needs and present solutions.
Change Management: Guide clients through change processes related to data transformation.
Risk Management: Identify potential risks and develop mitigation strategies.
Technical Leadership: Lead technical discussions and architectural decisions.
Documentation and Reporting: Create comprehensive documentation and reports.
Large‑scale implementation programs
Enterprise Data Lake Implementation: Designed and deployed a cloud‑based data lake for a Fortune 500 retail client.
Real‑Time Analytics Platform: Managed real‑time analytics platform using Databricks for a financial services organization.
Data Warehouse Modernization: Oversaw modernization of 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.
Familiarity with cloud platforms 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 qualities of top performers: collaboration, adaptability, passion for continuous learning. If you are driven by results and desire to make a meaningful impact, we want to hear from you.
What we offer you
Comprehensive compensation and benefits package with base salary range $125,500 to $230,200 (US) and higher ranges in selected markets.
Medical and dental coverage, pension and 401(k) plans, and paid time off options.
Hybrid model: most people in client‑serving roles will work in person 40‑60% of the time.
Flexible vacation policy allowing personalized vacation time.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries Professional Services
Equal Employment 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, 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 require an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3 and follow the instructions or email ssc.customersupport@ey.com.
Ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. EY provides opportunities in 150+ countries and territories.
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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.
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.
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 (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 latest trends and technologies in data engineering, cloud computing, and analytics.
Strong analytical and problem‑solving abilities.
Excellent communication skills.
Proven experience in managing and delivering projects effectively.
Ability to build and manage relationships with clients and stakeholders.
To qualify for the role, you must have
Bachelor’s degree in computer science, engineering or related field required; Master’s preferred.
4‑6 years of relevant experience in data engineering, focusing on cloud data solutions and analytics.
Proven expertise in Databricks and Spark for big data processing.Strong background in data architecture and design, building complex cloud analytics solutions.
Experience in leading and managing teams with a focus on mentoring.
Strong programming skills in Python, Scala, or SQL.
Excellent problem‑solving and independent teamwork skills.
Strong communication and interpersonal skills, with a focus on client management.
Required expertise for managerial role
Strategic Leadership: Align data engineering initiatives with organizational goals.
Project Management: Manage multiple projects and teams, ensuring timely delivery.
Stakeholder Engagement: Engage executives and stakeholders to understand needs and present solutions.
Change Management: Guide clients through change processes related to data transformation.
Risk Management: Identify potential risks and develop mitigation strategies.
Technical Leadership: Lead technical discussions and architectural decisions.
Documentation and Reporting: Create comprehensive documentation and reports.
Large‑scale implementation programs
Enterprise Data Lake Implementation: Designed and deployed a cloud‑based data lake for a Fortune 500 retail client.
Real‑Time Analytics Platform: Managed real‑time analytics platform using Databricks for a financial services organization.
Data Warehouse Modernization: Oversaw modernization of 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.
Familiarity with cloud platforms 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 qualities of top performers: collaboration, adaptability, passion for continuous learning. If you are driven by results and desire to make a meaningful impact, we want to hear from you.
What we offer you
Comprehensive compensation and benefits package with base salary range $125,500 to $230,200 (US) and higher ranges in selected markets.
Medical and dental coverage, pension and 401(k) plans, and paid time off options.
Hybrid model: most people in client‑serving roles will work in person 40‑60% of the time.
Flexible vacation policy allowing personalized vacation time.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries Professional Services
Equal Employment 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, 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 require an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3 and follow the instructions or email ssc.customersupport@ey.com.
Ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. EY provides opportunities in 150+ countries and territories.
#J-18808-Ljbffr