EY
Databricks Data Engineer - Senior - Consulting - Location Open
EY, Salt Lake City, Utah, United States, 84193
Overview
Location: Anywhere in Country At EY, were all in to shape your future with confidence. Well 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 to build a better working world. Technology Data and Decision Science Data Engineering Senior We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. 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 technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. Responsibilities Designing, building, and operating scalable on-premises or cloud data architecture. Analysing business requirements and translating them into technical specifications. Optimising data flows for target data platform designs. Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. Ensure data quality, integrity, and security throughout the data lifecycle. Provide technical guidance and mentorship to junior data engineers and team members. Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. Stay updated with the latest trends and technologies in data engineering and cloud computing.
This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. Qualifications A Bachelors degree in Computer Science, Engineering, or a related field required (4-year degree). Masters degree preferred. Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. 5+ years of experience in data engineering, with a focus on cloud data solutions. Expertise in Databricks and experience with Spark for big data processing. Proven experience in at least two end-to-end data engineering implementations, including: a data lake solution using Databricks; real-time data processing pipelines using Databricks and cloud services; strong programming skills in Python, Scala, or SQL; experience with data modeling, ETL processes, and data warehousing concepts. 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.
Required Expertise for Senior Consulting Projects
Strategic Thinking: Align data engineering solutions with business strategies and objectives. Project Management: Managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. Stakeholder Engagement: Engaging with various stakeholders, including executives. Change Management: Guiding clients through change processes related to data transformation and technology adoption. Risk Management: Identifying potential risks and developing mitigation strategies. Technical Leadership: Leading technical discussions and making architectural decisions. Documentation and Reporting: Creating comprehensive documentation and reports for clients.
Ideally, youll also have
Experience with data quality management. Familiarity with semantic layers in data architecture. 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. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. What We Offer You
We offer a comprehensive compensation and benefits package where youll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, youll decide how much vacation time you need based on your own personal circumstances. Youll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. Equal Opportunity
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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 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 need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP, 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 EYs Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com. #J-18808-Ljbffr
Location: Anywhere in Country At EY, were all in to shape your future with confidence. Well 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 to build a better working world. Technology Data and Decision Science Data Engineering Senior We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. 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 technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. Responsibilities Designing, building, and operating scalable on-premises or cloud data architecture. Analysing business requirements and translating them into technical specifications. Optimising data flows for target data platform designs. Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. Ensure data quality, integrity, and security throughout the data lifecycle. Provide technical guidance and mentorship to junior data engineers and team members. Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. Stay updated with the latest trends and technologies in data engineering and cloud computing.
This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. Qualifications A Bachelors degree in Computer Science, Engineering, or a related field required (4-year degree). Masters degree preferred. Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. 5+ years of experience in data engineering, with a focus on cloud data solutions. Expertise in Databricks and experience with Spark for big data processing. Proven experience in at least two end-to-end data engineering implementations, including: a data lake solution using Databricks; real-time data processing pipelines using Databricks and cloud services; strong programming skills in Python, Scala, or SQL; experience with data modeling, ETL processes, and data warehousing concepts. 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.
Required Expertise for Senior Consulting Projects
Strategic Thinking: Align data engineering solutions with business strategies and objectives. Project Management: Managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. Stakeholder Engagement: Engaging with various stakeholders, including executives. Change Management: Guiding clients through change processes related to data transformation and technology adoption. Risk Management: Identifying potential risks and developing mitigation strategies. Technical Leadership: Leading technical discussions and making architectural decisions. Documentation and Reporting: Creating comprehensive documentation and reports for clients.
Ideally, youll also have
Experience with data quality management. Familiarity with semantic layers in data architecture. 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. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. What We Offer You
We offer a comprehensive compensation and benefits package where youll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, youll decide how much vacation time you need based on your own personal circumstances. Youll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. Equal Opportunity
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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 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 need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP, 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 EYs Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com. #J-18808-Ljbffr