Description

You will design and deliver complex data solutions for customers.

Responsibilities

• Lead technical projects by designing reference architectures and producing technical 'how-to' guides.
• Scope and define professional services work in collaboration with engagement managers based on business needs.
• Guide customers through big data and AI transformations and platform migrations, delivering end-to-end design and deployment.
• Consult on architecture and design, driving customer adoption of Databricks solutions.
• Deliver escalated support for customer operational issues and collaborate across internal teams to meet requirements.

Required Skills

• 6+ years of experience in data engineering, data platforms, and analytics.
• Proficiency in Python or Scala.
• Deep expertise in cloud ecosystems including AWS, Azure, and GCP.
• Extensive experience with distributed computing using Apache Spark and understanding of its runtime internals.
• Familiarity with CI/CD practices for production deployments.
• Working knowledge of MLOps methodologies.
• Proven experience designing and deploying end-to-end data architectures.
• Experience managing technical project delivery, including scope and timelines.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience.

Key Skills

Education

Any Graduate