EY
Databricks Data Engineer - Manager - Consulting - Location Open 1
EY, Phoenix, Arizona, United States, 85003
Databricks Data Engineer – Manager – Consulting
Join EY to lead our Data Engineering team in designing and implementing complex, cloud‑based analytics solutions centered on Databricks.
Location Anywhere in the country – remote or hybrid arrangements are supported.
Technology – Data & Decision Science – Data Engineering – Manager We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in delivering high‑impact analytics solutions on major cloud platforms (AWS, Azure, GCP).
The Opportunity In this role you will design and build analytics solutions that deliver significant business value. You will collaborate with data and analytics stakeholders to translate business requirements into effective technical solutions.
Key Responsibilities
Understand and analyze business requirements, translating them into technical specifications.
Design, build, and operate scalable data architecture and modeling solutions.
Stay current with emerging technologies to maintain a competitive edge.
Lead workstream delivery and ensure quality across all processes.
Engage with clients daily, participate in working sessions, and identify opportunities for additional services.
Implement resource plans, budgets, and manage engagement economics.
Skills and Attributes for Success
Architect and develop scalable data engineering solutions using Databricks on cloud platforms.
Oversee complex cloud analytics architectures, ensuring alignment with business objectives.
Manage and mentor a team of data engineers, fostering innovation and collaboration.
Collaborate with clients to understand analytics needs and deliver tailored solutions.
Ensure data quality, integrity, and security through robust governance practices.
Drive end‑to‑end data pipeline development: ingestion, transformation, storage.
Communicate complex technical concepts to both technical and non‑technical audiences.
Manage client relationships, setting expectations and ensuring high satisfaction.
Stay abreast of trends in data engineering, cloud computing, and analytics.
Strong analytical, problem‑solving, and communication skills.
Proven experience delivering projects and building client relationships.
Qualifications
Bachelor’s degree in computer science, engineering, or related field (Master’s preferred).
4–6 years of data engineering experience, focusing on cloud data solutions and analytics.
Proven expertise in Databricks and Spark for big data processing.
Strong background in data architecture and design for complex cloud analytics.
Leadership experience managing and mentoring engineering teams.
Strong programming skills in Python, Scala, or SQL.
Excellent problem‑solving, independent and team‑oriented work abilities.
Strong client‑management communication and interpersonal skills.
Required Expertise for Managerial Role
Strategic Leadership – align data engineering initiatives with organizational goals.
Project Management – deliver multiple projects on time and within scope.
Stakeholder Engagement – present solutions effectively to executives and clients.
Change Management – guide clients through data transformation and technology adoption.
Risk Management – identify risks and develop mitigation strategies.
Technical Leadership – make architectural decisions that impact outcomes.
Documentation and Reporting – produce clear project progress reports.
Large‑Scale Implementation Programs
Enterprise Data Lake Implementation – designed a cloud‑based lake for a Fortune 500 retailer, integrating ERPs, POS, and e‑commerce data.
Real‑Time Analytics Platform – led a real‑time analytics solution for a financial services client using Databricks streaming.
Data Warehouse Modernization – modernized a legacy warehouse to cloud‑native architecture for a healthcare provider.
Ideal Additional Experience
Advanced analytics tools and techniques.
Machine learning concepts and applications.
Industry trends and best practices in data engineering.
Cloud platform data services proficiency.
Data governance and compliance knowledge.
Machine learning frameworks and tools experience.
What We Look For We seek individuals who are technically proficient, collaborative, adaptable, and passionate about 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
A comprehensive compensation and benefits package, including competitive base salary, medical and dental coverage, pension and 401(k) plans, and paid time off.
A flexible hybrid work model, with most external client‑serving roles working together in person 40‑60% of the time.
Flexible vacation policy and additional paid holidays, breaks, and personal/family care leave.
Act Now Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an ongoing basis. For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity, and expects all candidates to demonstrate these qualities.
EEO Statement
EY provides equal employment opportunities to all applicants.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you need assistance applying online or request an accommodation, call 1‑800‑EY‑HELP3 or email ssc.customersupport@ey.com.
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Location Anywhere in the country – remote or hybrid arrangements are supported.
Technology – Data & Decision Science – Data Engineering – Manager We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in delivering high‑impact analytics solutions on major cloud platforms (AWS, Azure, GCP).
The Opportunity In this role you will design and build analytics solutions that deliver significant business value. You will collaborate with data and analytics stakeholders to translate business requirements into effective technical solutions.
Key Responsibilities
Understand and analyze business requirements, translating them into technical specifications.
Design, build, and operate scalable data architecture and modeling solutions.
Stay current with emerging technologies to maintain a competitive edge.
Lead workstream delivery and ensure quality across all processes.
Engage with clients daily, participate in working sessions, and identify opportunities for additional services.
Implement resource plans, budgets, and manage engagement economics.
Skills and Attributes for Success
Architect and develop scalable data engineering solutions using Databricks on cloud platforms.
Oversee complex cloud analytics architectures, ensuring alignment with business objectives.
Manage and mentor a team of data engineers, fostering innovation and collaboration.
Collaborate with clients to understand analytics needs and deliver tailored solutions.
Ensure data quality, integrity, and security through robust governance practices.
Drive end‑to‑end data pipeline development: ingestion, transformation, storage.
Communicate complex technical concepts to both technical and non‑technical audiences.
Manage client relationships, setting expectations and ensuring high satisfaction.
Stay abreast of trends in data engineering, cloud computing, and analytics.
Strong analytical, problem‑solving, and communication skills.
Proven experience delivering projects and building client relationships.
Qualifications
Bachelor’s degree in computer science, engineering, or related field (Master’s preferred).
4–6 years of data engineering experience, focusing on cloud data solutions and analytics.
Proven expertise in Databricks and Spark for big data processing.
Strong background in data architecture and design for complex cloud analytics.
Leadership experience managing and mentoring engineering teams.
Strong programming skills in Python, Scala, or SQL.
Excellent problem‑solving, independent and team‑oriented work abilities.
Strong client‑management communication and interpersonal skills.
Required Expertise for Managerial Role
Strategic Leadership – align data engineering initiatives with organizational goals.
Project Management – deliver multiple projects on time and within scope.
Stakeholder Engagement – present solutions effectively to executives and clients.
Change Management – guide clients through data transformation and technology adoption.
Risk Management – identify risks and develop mitigation strategies.
Technical Leadership – make architectural decisions that impact outcomes.
Documentation and Reporting – produce clear project progress reports.
Large‑Scale Implementation Programs
Enterprise Data Lake Implementation – designed a cloud‑based lake for a Fortune 500 retailer, integrating ERPs, POS, and e‑commerce data.
Real‑Time Analytics Platform – led a real‑time analytics solution for a financial services client using Databricks streaming.
Data Warehouse Modernization – modernized a legacy warehouse to cloud‑native architecture for a healthcare provider.
Ideal Additional Experience
Advanced analytics tools and techniques.
Machine learning concepts and applications.
Industry trends and best practices in data engineering.
Cloud platform data services proficiency.
Data governance and compliance knowledge.
Machine learning frameworks and tools experience.
What We Look For We seek individuals who are technically proficient, collaborative, adaptable, and passionate about 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
A comprehensive compensation and benefits package, including competitive base salary, medical and dental coverage, pension and 401(k) plans, and paid time off.
A flexible hybrid work model, with most external client‑serving roles working together in person 40‑60% of the time.
Flexible vacation policy and additional paid holidays, breaks, and personal/family care leave.
Act Now Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an ongoing basis. For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity, and expects all candidates to demonstrate these qualities.
EEO Statement
EY provides equal employment opportunities to all applicants.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you need assistance applying online or request an accommodation, call 1‑800‑EY‑HELP3 or email ssc.customersupport@ey.com.
#J-18808-Ljbffr