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Databricks Data Engineer - Senior - Consulting - Miami

Job in Houston, Harris County, Texas, 77246, USA
Listing for: EY
Full Time position
Listed on 2026-01-14
Job specializations:
  • Engineering
    Data Engineer, Data Science Manager
  • IT/Tech
    Data Engineer, Data Science Manager
Job Description & How to Apply Below

Databricks Data Engineer - Senior - Consulting - Miami

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.

Job Overview

We’re looking for 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.

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 relationships and expectations, ensuring high levels of satisfaction and engagement.
  • Stay updated with the latest trends and technologies in data engineering and cloud computing.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or a related field (4‑year degree). Master’s degree preferred.
  • Typically no less than 2–4 years relevant experience in data engineering, with a focus on cloud data solutions. 5+ years 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 implementation of a data lake solution using Databricks and development of a real‑time data processing pipeline using Databricks and cloud services.
  • Strong programming skills in languages such as Python, Scala, or SQL.
  • Experience with data modeling, ETL processes, and data warehousing concepts.
  • 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.
Skills & Attributes
  • 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.
Required Expertise for Senior Consulting Projects
  • Strategic Thinking:
    Align data engineering solutions with business strategies and objectives.
  • Project Management:
    Experience in managing multiple projects simultaneously, 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.
Ideal Candidate (Additional Skills)
  • Experience with data quality management.
  • Familiarity with semantic layers in data architecture.
  • 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.
Benefits

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on…

Position Requirements
10+ Years work experience
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