EY
Databricks Data Engineer - Senior - Consulting - Miami
EY, Toledo, Ohio, United States, 43614
Join EY to apply for the
Databricks Data Engineer – Senior – Consulting – Miami
role.
Location:
Anywhere in Country (Miami)
Technology & Focus Data and Decision Science – Data Engineering – Senior
Opportunity Design and build analytics solutions that create significant business value. Collaborate with data and analytics professionals, management, and stakeholders to align technical requirements with business needs. Create scalable data architecture and modeling solutions that support the entire data asset lifecycle.
Your Key Responsibilities
Design, build, and operate scalable on‑premises or cloud data architecture.
Analyze business requirements and translate them into technical specifications.
Optimize data flows for target data platform designs.
Design, develop, and implement data engineering solutions using Databricks on cloud platforms (AWS, Azure, GCP).
Collaborate with clients to understand their data needs and provide tailored solutions.
Lead end‑to‑end data pipeline development, including 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.
Manage client relationships and expectations to ensure high satisfaction and engagement.
Stay updated with the latest trends and technologies in data engineering and cloud computing.
Skills and Attributes for Success
Strong analytical and decision‑making skills.
Proficiency in cloud computing and data architecture design.
Experience in data integration and security.
Ability to manage complex problem‑solving scenarios.
Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field (required). Master’s degree preferred.
5+ years of data engineering experience focused on cloud data solutions.
Expertise in Databricks and Spark for big data processing.
Proven experience in at least two end‑to‑end data engineering implementations.
Strong programming skills in Python, Scala, or SQL.
Experience with data modeling, ETL processes, and data warehousing concepts.
Excellent problem‑solving skills and 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.
Project management: manage multiple projects simultaneously, ensuring timely delivery.
Stakeholder engagement: present solutions effectively to executives and other stakeholders.
Change management: guide clients through technology adoption.
Risk management: identify potential risks and develop mitigation strategies.
Technical leadership: lead technical discussions and make architectural decisions.
Documentation and reporting: create comprehensive documentation and reports.
Ideally, You’ll Also Have
Experience with data quality management.
Familiarity with semantic layers in data architecture.
Knowledge of data governance and compliance standards.
Experience with machine learning frameworks and tools.
What We Look For Adaptable, collaborative, and driven by a desire to achieve excellence in every project.
What We Offer You
Comprehensive compensation and benefits package with performance‑based rewards. Base salary range for U.S. locations: $106,900‑$176,500 (broader range varies by city). Additional benefits: medical and dental coverage, pension and 401(k) plans, and paid time off.
Hybrid model: work in person 40‑60% of the time on client engagements.
Flexible vacation policy: customize vacation time based on personal circumstances. Includes EY Paid Holidays, winter/summer breaks, personal/family care, and other leaves.
Ready to Shape Your Future with Confidence? Apply today. EY accepts applications for this position on an ongoing basis.
EY is committed to high‑ethical standards and integrity. All candidates must 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, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. For assistance applying online or to request accommodation, please call 1‑800‑EY‑HELP3 or email ssc.customersupport@ey.com.
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Databricks Data Engineer – Senior – Consulting – Miami
role.
Location:
Anywhere in Country (Miami)
Technology & Focus Data and Decision Science – Data Engineering – Senior
Opportunity Design and build analytics solutions that create significant business value. Collaborate with data and analytics professionals, management, and stakeholders to align technical requirements with business needs. Create scalable data architecture and modeling solutions that support the entire data asset lifecycle.
Your Key Responsibilities
Design, build, and operate scalable on‑premises or cloud data architecture.
Analyze business requirements and translate them into technical specifications.
Optimize data flows for target data platform designs.
Design, develop, and implement data engineering solutions using Databricks on cloud platforms (AWS, Azure, GCP).
Collaborate with clients to understand their data needs and provide tailored solutions.
Lead end‑to‑end data pipeline development, including 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.
Manage client relationships and expectations to ensure high satisfaction and engagement.
Stay updated with the latest trends and technologies in data engineering and cloud computing.
Skills and Attributes for Success
Strong analytical and decision‑making skills.
Proficiency in cloud computing and data architecture design.
Experience in data integration and security.
Ability to manage complex problem‑solving scenarios.
Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field (required). Master’s degree preferred.
5+ years of data engineering experience focused on cloud data solutions.
Expertise in Databricks and Spark for big data processing.
Proven experience in at least two end‑to‑end data engineering implementations.
Strong programming skills in Python, Scala, or SQL.
Experience with data modeling, ETL processes, and data warehousing concepts.
Excellent problem‑solving skills and 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.
Project management: manage multiple projects simultaneously, ensuring timely delivery.
Stakeholder engagement: present solutions effectively to executives and other stakeholders.
Change management: guide clients through technology adoption.
Risk management: identify potential risks and develop mitigation strategies.
Technical leadership: lead technical discussions and make architectural decisions.
Documentation and reporting: create comprehensive documentation and reports.
Ideally, You’ll Also Have
Experience with data quality management.
Familiarity with semantic layers in data architecture.
Knowledge of data governance and compliance standards.
Experience with machine learning frameworks and tools.
What We Look For Adaptable, collaborative, and driven by a desire to achieve excellence in every project.
What We Offer You
Comprehensive compensation and benefits package with performance‑based rewards. Base salary range for U.S. locations: $106,900‑$176,500 (broader range varies by city). Additional benefits: medical and dental coverage, pension and 401(k) plans, and paid time off.
Hybrid model: work in person 40‑60% of the time on client engagements.
Flexible vacation policy: customize vacation time based on personal circumstances. Includes EY Paid Holidays, winter/summer breaks, personal/family care, and other leaves.
Ready to Shape Your Future with Confidence? Apply today. EY accepts applications for this position on an ongoing basis.
EY is committed to high‑ethical standards and integrity. All candidates must 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, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. For assistance applying online or to request accommodation, please call 1‑800‑EY‑HELP3 or email ssc.customersupport@ey.com.
#J-18808-Ljbffr