Databricks Data Engineer - Senior - Consulting - Miami

Databricks Data Engineer - Senior - Consulting - Miami (Anywhere in Country)

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In this 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.

• Designing, building, and دغ 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 solutionsรู 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.

• 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.

• • A 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: data lake solution and real‑time data pipeline.
• • Strong programming skills in 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.

• Strategic Thinking to align data engineering solutions with business strategies.
• Project Management experience in managing multiple projects simultaneously.
• Stakeholder Engagement with executives and other stakeholders.
• Change Management to guide clients through data transformation and technology adoption.
• Risk Management to identify potential risks in data projects and develop mitigation strategies.
• Technical Leadership in leading technical discussions and making architectural decisions.
• Documentation and Reporting to communicate project progress and outcomes to clients.

• Experience with data quality management.
• Familiarity with semantic layers in data architecture.
• Knowledge of data governance and compliance standards.
• Experience with machine slot learning frameworks and tools.

• Comprehensive compensation and benefits package; base salary ranges detailed per region.
• Hybrid model with a mix of remote and in‑office work.
• Flexible vacation policy and paid time off options.
• Opportunity for career growth and development of future‑focused skills.

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 with disabilities. If you have a disability and}) }