Databricks Data Engineer - Manager - Consulting - Location Open

Technology Data And Decision Science Data Engineering Manager

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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 include : understanding and analyzing business requirements to translate them into technical requirements, designing, building, and operating scalable data architecture and modeling solutions, and staying up to date with the latest trends and emerging technologies to maintain a competitive edge.

Key Responsibilities

As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including 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.

This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs.

Skills and Attributes for Success

To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact : lead the design and development of scalable data engineering solutions using Databricks on cloud platforms, oversee the architecture of complex cloud analytics solutions, manage and mentor a team of data engineers, collaborate with clients to understand their analytics needs, ensure the quality, integrity, and security of data throughout the data lifecycle, drive end-to-end data pipeline development, communicate effectively with stakeholders, manage client relationships and expectations, stay abreast of the 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 a related field required; Master's degree preferred. Typically, no less than 4 - 6 years 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 languages such as 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.

Required Expertise for Managerial Role :

Strategic Leadership, Project Management, Stakeholder Engagement, Change Management, Risk Management, Technical Leadership, Documentation and Reporting.

Large-Scale Implementation Programs :

1. Enterprise Data Lake Implementation, 2. Real-Time Analytics Platform, 3. Data Warehouse Modernization.

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, including a strong sense of 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 :

We offer a comprehensive compensation and benefits package where you'll 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 $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. 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, you'll decide how much vacation time you need based on your own personal circumstances. You'll 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. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need 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@.