Big Data Solutions Architect (Professional Services)

📋 Description

• Work on client engagements using the Databricks platform.
• Deliver data engineering, data science and cloud projects.
• Integrate with client systems and train teams.
• Design reference architectures and productionalize use cases.
• Guide customers through end-to-end big data deployments.
• Provide escalated support for operational issues.

🎯 Requirements

• 6+ years of data engineering and analytics experience.
• Strong data warehousing concepts, architecture and migrations.
• Python, PySpark or Scala coding proficiency.
• Cloud experience across AWS, Azure, or GCP (at least one).
• Deep Apache Spark knowledge and runtime internals.
• CI/CD for production deployments.
• Familiarity with MLOps.
• Willingness to travel 10-20%.

🎁 Benefits

• Region-specific benefits described on the linked page.
• Commitment to diversity and inclusion.
• Compliance information provided.