Senior Big Data Architect

Summary

Join Databricks as a Senior Big Data Architect and partner with clients to solve their big data challenges using the Databricks Platform. In this customer-focused role, you will act as a trusted advisor, delivering tailored data engineering and data science solutions across multiple cloud environments. You will collaborate on impactful customer projects, advise on big data initiatives, and provide architectural expertise. You will also partner with internal teams to improve products and manage multiple projects simultaneously. This role requires extensive experience with big data technologies and the Databricks ecosystem. Databricks offers comprehensive benefits, details of which can be found on their benefits website.

Requirements

• 15+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role
• 6+ years of experience working on Big Data Architectures independently
• Strong experience working in the Databricks ecosystem
• Comfortable writing code in either Python or Scala
• Experience working across Cloud Platforms ( GCP / AWS / Azure )
• Documentation and white-boarding skills
• A strong to-do attitude and excellent problem-solving skills
• Highly customer-obsessed, innovative and think beyond the current world and come up with innovative solutions that can last long in the GenAI world

Responsibilities

• Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies
• Advise strategic customers on transformational big data initiatives, including third-party migrations and the complete design, build, and deployment of cutting-edge big data and AI applications
• Provide expertise in architecture and design, and support key customer projects to ensure successful adoption and integration of Databricks solutions
• Partner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive continuous product improvements
• Simultaneously manage and guide multiple diverse projects, ensuring adherence to well-architected principles and quality standards, proactively identifying and mitigating risks, and building strong customer trust

Preferred Qualifications

Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees