Python Job: Resident Solutions Architect

As a Resident Solutions Architect, you will shape the future big data landscape for leading Fortune 500 organizations. You will be in a senior level customer-facing role that requires expertise in Apache Spark™ along with a variety of big data solution architecture experience.

Weekly, you will guide customers through architecture, design, and implementation while aligning their technical roadmap for expanding the usage of the Databricks platform. As part of the RSA team, you will continue to strengthen your technical expertise through mentorship, learning, and internal training programs. This role can be remote, but you will be located in the job listing area and will travel up to 30% when needed. You'll report to the VP of the APJ Customer Success team.

The impact you will have:

• Provide technical leadership in a post-sales capacity to guide strategic customers as they implement big data projects, ranging from architectural design to data engineering to model deployment
• Identify and improve new plans that help customers to turn their data into relevant value and align these plans with their outcomes for continued success
• Architect production level workloads, including end-to-end pipeline load performance testing and optimization
• Provide tutorials and trainings to improve community adoption (including hackathons and conference presentations)
• Work with Engineering and Product Management to improve the direction of the Databricks product
• Contribute to Databricks Expert community

What we look for:

• Hands-on and technical experience with Apache Spark
• Experience of design and implementation experience in big data technologies including Hadoop, NoSQL, MPP, OLTP, and OLAP
• 5+ years experience working as either:
• Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark and/or other big data solutions.
• Data Scientist/ML Engineer: model selection, model lifecycle, hyperparameter tuning, model serving, deep learning, etc.
• Comfortable programming in Python, Scala or Java
• Experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP
• Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces. E.g. Jenkins
• Experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow

Benefits

• Benefits allowance
• Superannuation
• Equity awards
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Business travel insurance

About Databricks

Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500— rely on Databricks' Lakehouse platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.