CSQ125R36

As a Resident Solutions Architect, you will have the opportunity to shape the future big data landscape for leading Fortune 500 organizations. This position is a senior level customer-facing role that requires deep expertise in Apache Spark™ along with a breadth of big data solution architecture experience.

On a weekly basis, you will guide customers through architecture, design, and implementation while strategically 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, continuous learning, and internal training programs. This role can be remote, but the ideal candidate will be located in the job listing area and have a willingness to travel up to 30%.

Outcomes

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

Competencies

• Hands-on and technical expertise with Apache Spark™
• Proven experience of design and implementation experience in big data technologies including Hadoop, NoSQL, MPP, OLTP, 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.
• Comfortable programming in Python, Scala or Java
• Experience using and 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.
• Excellent communication skills and comfortable presenting to strategic stakeholders/leadership.
• Experience in customer-facing pre-sales, post-sales, technical architecture guidance, or consulting.
• Passionate about learning new technologies and making customers successful
• Data Science/ML Engineer experience model selection, model lifecycle, hyper-parameter tuning, model serving, deep learning, using tools like MLFlow desired.

Benefits

• Comprehensive health coverage including medical, dental, and vision

• 401(k) Plan

• Equity Awards

• Flexible Time Off

• Paid Parental Leave

• Family Planning

• Fitness Reimbursement

• Annual Career Development Fund

• Home Office/Work Headphones Reimbursement

• Employee Assistance Program (EAP)

• Business Travel Accident Insurance

• Mental Wellness Resources