EY
Databricks Data Engineer - Manager - Consulting - Miami
EY, Detroit, Michigan, United States, 48228
Databricks Data Engineer - Manager - Consulting - Miami
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.
Technology – Data & 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, collaborate with data and analytics professionals, management, and stakeholders, and translate business requirements into effective technical solutions.
Key Responsibilities
Understand and analyze business requirements and translate them into technical requirements.
Design, build, and operate scalable data architecture and modeling solutions.
Stay up to date with the latest trends and emerging technologies to maintain a competitive edge.
Lead workstream delivery and ensure quality in all processes.
Engage with clients on a daily basis, actively participate in working sessions, and identify opportunities for additional services.
Implement resource plans and budgets while managing engagement economics.
Travel may be required regularly based on client needs.
Skills and Attributes for Success
Lead design and development of scalable data engineering solutions using Databricks on cloud platforms (AWS, Azure, GCP).
Oversee 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 quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.
Drive end‑to‑end data pipeline development, including 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.
Qualifications
Bachelor’s degree in computer science, engineering, or related field (Master’s preferred).
Typically 4–6 years relevant experience in data engineering, focusing 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, building complex cloud analytics solutions.
Experience in leading and managing teams, mentoring and developing talent.
Strong programming skills in Python, Scala, or SQL.
Excellent problem‑solving skills and ability to work independently and as part of a team.
Strong communication and interpersonal skills, focusing on client management.
Desired Experience
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 You
Comprehensive compensation and benefits package: base salary range $125,500–$230,200 (US); $150,700–$261,600 for NYC, Washington State, and California (excluding Sacramento). Includes medical and dental coverage, pension and 401(k) plans, and paid time off options.
Hybrid model: most people in client‑serving roles work together in person 40–60% of the time of engagements.
Flexible vacation policy: choose how much vacation you need based on personal circumstances, plus EY Paid Holidays, Winter/Summer breaks, and other leaves.
EY accepts applications for this position on an ongoing basis.
E‑EO Statement: 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. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities.
Are you ready to shape your future with confidence? Apply today.
#J-18808-Ljbffr
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.
Technology – Data & 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, collaborate with data and analytics professionals, management, and stakeholders, and translate business requirements into effective technical solutions.
Key Responsibilities
Understand and analyze business requirements and translate them into technical requirements.
Design, build, and operate scalable data architecture and modeling solutions.
Stay up to date with the latest trends and emerging technologies to maintain a competitive edge.
Lead workstream delivery and ensure quality in all processes.
Engage with clients on a daily basis, actively participate in working sessions, and identify opportunities for additional services.
Implement resource plans and budgets while managing engagement economics.
Travel may be required regularly based on client needs.
Skills and Attributes for Success
Lead design and development of scalable data engineering solutions using Databricks on cloud platforms (AWS, Azure, GCP).
Oversee 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 quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.
Drive end‑to‑end data pipeline development, including 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.
Qualifications
Bachelor’s degree in computer science, engineering, or related field (Master’s preferred).
Typically 4–6 years relevant experience in data engineering, focusing 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, building complex cloud analytics solutions.
Experience in leading and managing teams, mentoring and developing talent.
Strong programming skills in Python, Scala, or SQL.
Excellent problem‑solving skills and ability to work independently and as part of a team.
Strong communication and interpersonal skills, focusing on client management.
Desired Experience
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 You
Comprehensive compensation and benefits package: base salary range $125,500–$230,200 (US); $150,700–$261,600 for NYC, Washington State, and California (excluding Sacramento). Includes medical and dental coverage, pension and 401(k) plans, and paid time off options.
Hybrid model: most people in client‑serving roles work together in person 40–60% of the time of engagements.
Flexible vacation policy: choose how much vacation you need based on personal circumstances, plus EY Paid Holidays, Winter/Summer breaks, and other leaves.
EY accepts applications for this position on an ongoing basis.
E‑EO Statement: 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. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities.
Are you ready to shape your future with confidence? Apply today.
#J-18808-Ljbffr