Databricks Data Engineer - Manager - Consulting - Location OpenEY • Southfield, MI, US

Databricks Data Engineer - Manager - Consulting - Location Open

EY • Southfield, MI, US

1 day ago

Job type

Full-time

Job description

Overview

Join to apply for the Databricks Data Engineer - Manager - Consulting - Location Open role at EY

Location : Anywhere in Country

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 to build a better working world.

Technology – Data and Decision Science – Data Engineering – Manager

Responsibilities

Designing, building, and operating scalable data architecture and modeling solutions.
Understanding and analyzing business requirements and translating them into technical requirements.
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.

What you'll do

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.

Qualifications

Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred.

Typically, 4-6 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.

Required Expertise for Managerial Role

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 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 Implementations

Enterprise Data Lake Implementation : Designed and deployed a cloud-based data lake for a Fortune 500 retail client, integrating data from multiple sources for analytics.

Real-Time Analytics Platform : Developed a real-time analytics platform using Databricks for a financial services organization, enabling real-time analytics.

Data Warehouse Modernization : Modernized 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 offer

Comprehensive compensation and benefits package with a defined salary range; details vary by geography.

Hybrid model with a mix of in-person and remote work expectations.

Flexible vacation policy and paid time off options to support well-being.

Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis.

For California residents, additional information is available here. EY is an equal opportunity employer committed to a diverse and inclusive workplace.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

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