EY
Databricks Data Engineer - Senior - Consulting - Miami
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 build a better working world.
Technology – Data and Decision Science – Data Engineering – Senior
Overview We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end‑to‑end implementations in data engineering projects.
Opportunity 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 technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. Your Key Responsibilities
Designing, building, and operating scalable on‑premises or cloud data architecture.
Analyzing business requirements and translating them into technical specifications.
Optimizing data flows for target data platform designs.
Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives.
Lead end‑to‑end data pipeline development, including data 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, to convey complex data concepts.
Manage client graphs Were engaging and ensure high levels of satisfaction.ζουν
Stay updated with the latest trends and technologies in data engineering and cloud computing.河南
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 a related field (4‑year degree). Master’s degree preferred.
5+ years of experience in data engineering, with a focus on cloud data solutions.
Expertise in Databricks and experience with Spark for big data processing.
Proven experience in at least two end‑to‑end data engineering implementations, including a data lake solution and a real‑time data processing pipeline using Databricks.
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 teamрон
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 and objectives.
Project Management: Manage multiple projects simultaneously, 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.
Documentation and Reporting:(ActionContext) create comprehensive documentation and reports to communicate progress and outcomes to clients.
Ideally You’ll Also Have
Experience with data quality management.
logiciels Portable with semantic layers in data architecture. Familiarity with AWS, Azure, GCP and their data services.
Knowledge of data governance and compliance standards.
Experience with machine learning frameworks OUTPUT & tools.
Compensation & Benefits
Base salary ranges: $106,900 – $176,500 (US) with higher ranges for major metros.
Total Rewards package includes medical, dental, pension, 401(k), and paid time off.
Hybrid work model: 40–60% in‑person collaboration.
Flexible vacation policy and designated EY Paid Holidays.
Equal Opportunity 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, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans, during the application process.
EYailangan tomax receiving candidate assistance, please contact 1‑800‑EY‑HELP3 (Option 2, then Option 1, then Option 2) or email ssc.customersupport@ey.com.
#J-18808-Ljbffr
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 build a better working world.
Technology – Data and Decision Science – Data Engineering – Senior
Overview We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end‑to‑end implementations in data engineering projects.
Opportunity 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 technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. Your Key Responsibilities
Designing, building, and operating scalable on‑premises or cloud data architecture.
Analyzing business requirements and translating them into technical specifications.
Optimizing data flows for target data platform designs.
Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives.
Lead end‑to‑end data pipeline development, including data 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, to convey complex data concepts.
Manage client graphs Were engaging and ensure high levels of satisfaction.ζουν
Stay updated with the latest trends and technologies in data engineering and cloud computing.河南
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 a related field (4‑year degree). Master’s degree preferred.
5+ years of experience in data engineering, with a focus on cloud data solutions.
Expertise in Databricks and experience with Spark for big data processing.
Proven experience in at least two end‑to‑end data engineering implementations, including a data lake solution and a real‑time data processing pipeline using Databricks.
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 teamрон
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 and objectives.
Project Management: Manage multiple projects simultaneously, 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.
Documentation and Reporting:(ActionContext) create comprehensive documentation and reports to communicate progress and outcomes to clients.
Ideally You’ll Also Have
Experience with data quality management.
logiciels Portable with semantic layers in data architecture. Familiarity with AWS, Azure, GCP and their data services.
Knowledge of data governance and compliance standards.
Experience with machine learning frameworks OUTPUT & tools.
Compensation & Benefits
Base salary ranges: $106,900 – $176,500 (US) with higher ranges for major metros.
Total Rewards package includes medical, dental, pension, 401(k), and paid time off.
Hybrid work model: 40–60% in‑person collaboration.
Flexible vacation policy and designated EY Paid Holidays.
Equal Opportunity 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, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans, during the application process.
EYailangan tomax receiving candidate assistance, please contact 1‑800‑EY‑HELP3 (Option 2, then Option 1, then Option 2) or email ssc.customersupport@ey.com.
#J-18808-Ljbffr