EY
Databricks Data Engineer - Manager - Consulting - Location Open
EY, Englewood, Colorado, us, 80151
Overview
Databricks Data Engineer - Manager - Consulting - Location Open
role at EY. Location: Anywhere in country. EY is looking for a dynamic and experienced Manager of Data Engineering to lead a team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will have 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 business requirements are translated into effective technical solutions. 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. Required skills and attributes
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 and client-management skills. Proven experience in managing and delivering projects effectively; ability to build and manage relationships with clients and stakeholders. Qualifications
Bachelors degree in computer science, Engineering, or a related field required; Masters degree preferred. Typically, 46 years of 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 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. Managerial expertise
Strategic Leadership: Align data engineering initiatives with organizational goals and drive strategic vision. Project Management: Manage multiple projects and teams, ensuring timely delivery and adherence to scope. Stakeholder Engagement: Engage with executives and other stakeholders to understand needs and present solutions. Change Management: Guide clients through data transformation and technology adoption. Risk Management: Identify risks and develop mitigation strategies. Technical Leadership: Lead technical discussions and make architectural decisions. Documentation and Reporting: Create comprehensive documentation and progress reports for clients. Experience with large-scale implementations
Enterprise Data Lake implementation for a Fortune 500 retailer, integrating data from multiple sources for analytics and reporting. Real-time analytics platform using Databricks for financial services, enabling real-time fraud detection and risk assessment. Data Warehouse modernization to cloud-native architecture for a healthcare provider, including ETL with Databricks. Ideally, youll 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. 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. What we offer
Comprehensive compensation and benefits package with salary ranges based on location and experience; total rewards include medical and dental coverage, pension and 401(k), and paid time off. Hybrid work model with client-facing in-person collaboration 40-60% of the time. Flexible vacation policy and designated holidays and leave options to support well-being. EEO and accommodations
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 status. EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you need assistance applying online or requesting accommodation during any part of the application process, please contact EYs Talent Shared Services. EY | Building a better working world. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence. EY services include assurance, consulting, tax, strategy and transactions, across more than 150 countries. #J-18808-Ljbffr
Databricks Data Engineer - Manager - Consulting - Location Open
role at EY. Location: Anywhere in country. EY is looking for a dynamic and experienced Manager of Data Engineering to lead a team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will have 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 business requirements are translated into effective technical solutions. 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. Required skills and attributes
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 and client-management skills. Proven experience in managing and delivering projects effectively; ability to build and manage relationships with clients and stakeholders. Qualifications
Bachelors degree in computer science, Engineering, or a related field required; Masters degree preferred. Typically, 46 years of 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 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. Managerial expertise
Strategic Leadership: Align data engineering initiatives with organizational goals and drive strategic vision. Project Management: Manage multiple projects and teams, ensuring timely delivery and adherence to scope. Stakeholder Engagement: Engage with executives and other stakeholders to understand needs and present solutions. Change Management: Guide clients through data transformation and technology adoption. Risk Management: Identify risks and develop mitigation strategies. Technical Leadership: Lead technical discussions and make architectural decisions. Documentation and Reporting: Create comprehensive documentation and progress reports for clients. Experience with large-scale implementations
Enterprise Data Lake implementation for a Fortune 500 retailer, integrating data from multiple sources for analytics and reporting. Real-time analytics platform using Databricks for financial services, enabling real-time fraud detection and risk assessment. Data Warehouse modernization to cloud-native architecture for a healthcare provider, including ETL with Databricks. Ideally, youll 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. 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. What we offer
Comprehensive compensation and benefits package with salary ranges based on location and experience; total rewards include medical and dental coverage, pension and 401(k), and paid time off. Hybrid work model with client-facing in-person collaboration 40-60% of the time. Flexible vacation policy and designated holidays and leave options to support well-being. EEO and accommodations
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 status. EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you need assistance applying online or requesting accommodation during any part of the application process, please contact EYs Talent Shared Services. EY | Building a better working world. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence. EY services include assurance, consulting, tax, strategy and transactions, across more than 150 countries. #J-18808-Ljbffr