Databricks Data Engineer - Manager - Consulting - Location Open
Databricks Data Engineer - Manager - Consulting - Location Open
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Job Description
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 Manager
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.
- 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 (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 skills with the ability to convey complex information clearly.
- 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:
- Bachelors degree in computer science Engineering or a related field required; Masters 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:Ability to align data engineering initiatives with organizational goals and drive strategic vision.
- Project Management:Experience in managing multiple projects and teams ensuring timely delivery and adherence to project scope.
- Stakeholder Engagement:Proficiency in engaging with various stakeholders including executives to understand their needs and present solutions effectively.
- Change Management:Skills in guiding clients through change processes related to data transformation and technology adoption.
- Risk Management:Ability to identify potential risks in data projects and develop mitigation strategies.
- Technical Leadership:Experience in leading technical discussions and making architectural decisions that impact project outcomes.
- Documentation and Reporting:Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.
Large-Scale Implementation Programs:
- Enterprise Data Lake Implementation:Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client integrating data from multiple sources (e.g. ERPs POS systems e-commerce platforms) to enable advanced analytics and reporting capabilities.
- Real-Time Analytics Platform:Managed the development of a real-time analytics platform using Databricks for a financial services organization enabling real-time fraud detection and risk assessment through streaming data ingestion and processing.
- Data Warehouse Modernization:Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider implementing ETL processes with Databricks and improving data accessibility for analytics and reporting.
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.
- 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.
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What we offer you
At EY well develop you with future-focused skills and equip you with world-class experiences. Well empower you in a flexible environment and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learnmore.
- 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 $125500 to $230200. The base salary range for New York City Metro Area Washington State and California (excluding Sacramento) is $150700 to $261600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education experience knowledge skills and 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.
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.
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EY is building a better working world by creating new value for clients people society and the planet while building trust in capital markets.
Enabled by data AI and advanced technology EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
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Required Experience:
Manager
Employment Type
Full Time
