EY
Databricks Data Engineer - Manager - Consulting - Location Open 1
EY, Jericho, New York, United States, 11753
Databricks Data Engineer - Manager - Consulting - Location Open 1
EY
Location:
Anywhere in Country
Overview 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.
Key Responsibilities
Understanding and analyzing business requirements to translate them into technical specifications.
Designing, building, and operating scalable data architecture and modeling solutions.
Leading workstream delivery and ensuring quality across all processes.
Engaging with clients daily, participating in working sessions, and identifying opportunities for additional services.
Implementing resource plans and budgets while managing engagement economics.
Staying up to date with emerging technologies to maintain a competitive edge.
Travel may be required regularly based on client needs.
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.
Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
Collaborate with clients to understand analytics needs and deliver tailored solutions that drive business value.
Ensure data quality, integrity, and security throughout the data lifecycle, implementing best practices in data governance.
Drive end‑to‑end data pipeline development: ingestion, transformation, and storage via Databricks and other cloud services.
Communicate effectively with both technical and non‑technical stakeholders.
Manage client relationships and expectations, ensuring high 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, clearly conveying complex information.
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 related field required; Master’s preferred.
4‑6 years of relevant experience in data engineering with a focus 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, focusing on mentorship and talent development.
Strong programming skills in Python, Scala, or SQL.
Excellent problem‑solving skills, 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: align data engineering initiatives with organizational goals.
Project Management: manage multiple projects and teams, ensuring timely delivery and adherence to scope.
Stakeholder Engagement: present solutions effectively to executives and other stakeholders.
Change Management: guide clients through technology adoption and data transformation.
Risk Management: identify potential risks and develop mitigation strategies.
Technical Leadership: lead technical discussions and make architectural decisions that impact outcomes.
Documentation and Reporting: create comprehensive documentation and reports for clients.
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 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 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 not only technically proficient but also possess the qualities of top performers: 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, including medical and dental coverage, pension and 401(k), and a wide range of paid time off options.
A flexible holiday policy, with vacation time tailored to your personal circumstances.
A hybrid work model, with most external client‑serving roles working in person 40‑60% of the time.
Opportunities for continuous learning, professional growth, and a diverse, inclusive culture.
Equal Employment Opportunity & Accommodation EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, 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, including veterans with disabilities. If you have a disability and require assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
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Location:
Anywhere in Country
Overview 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.
Key Responsibilities
Understanding and analyzing business requirements to translate them into technical specifications.
Designing, building, and operating scalable data architecture and modeling solutions.
Leading workstream delivery and ensuring quality across all processes.
Engaging with clients daily, participating in working sessions, and identifying opportunities for additional services.
Implementing resource plans and budgets while managing engagement economics.
Staying up to date with emerging technologies to maintain a competitive edge.
Travel may be required regularly based on client needs.
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.
Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
Collaborate with clients to understand analytics needs and deliver tailored solutions that drive business value.
Ensure data quality, integrity, and security throughout the data lifecycle, implementing best practices in data governance.
Drive end‑to‑end data pipeline development: ingestion, transformation, and storage via Databricks and other cloud services.
Communicate effectively with both technical and non‑technical stakeholders.
Manage client relationships and expectations, ensuring high 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, clearly conveying complex information.
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 related field required; Master’s preferred.
4‑6 years of relevant experience in data engineering with a focus 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, focusing on mentorship and talent development.
Strong programming skills in Python, Scala, or SQL.
Excellent problem‑solving skills, 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: align data engineering initiatives with organizational goals.
Project Management: manage multiple projects and teams, ensuring timely delivery and adherence to scope.
Stakeholder Engagement: present solutions effectively to executives and other stakeholders.
Change Management: guide clients through technology adoption and data transformation.
Risk Management: identify potential risks and develop mitigation strategies.
Technical Leadership: lead technical discussions and make architectural decisions that impact outcomes.
Documentation and Reporting: create comprehensive documentation and reports for clients.
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 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 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 not only technically proficient but also possess the qualities of top performers: 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, including medical and dental coverage, pension and 401(k), and a wide range of paid time off options.
A flexible holiday policy, with vacation time tailored to your personal circumstances.
A hybrid work model, with most external client‑serving roles working in person 40‑60% of the time.
Opportunities for continuous learning, professional growth, and a diverse, inclusive culture.
Equal Employment Opportunity & Accommodation EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, 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, including veterans with disabilities. If you have a disability and require assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
#J-18808-Ljbffr