Machine Learning Solutions Architect

Mission

At Databricks we work on some of the most complex distributed processing and machine learning problems in the world and our customers continually challenge us with interesting new big data and AI use cases. As a Machine Learning Solutions Architect at Databricks, you will have the opportunity to shape the future big data and the machine learning landscape for leading Fortune 500 organizations.  

This position is a senior level, customer-facing role that requires deep hands-on expertise in Apache SparkTM and Machine Learning, along with a breadth of knowledge of the big data ecosystem. On a weekly basis, you will strategically guide our largest customers, lead their architecture design, and implement pipelines from data engineering through model building and deployment. A successful Machine Learning Solutions Architect is curious, self-motivated, and excels in cross-functional collaboration. As part of joining Databricks, you will have a direct channel to the developers of Apache Spark, Delta Lake, and MLflow, and the opportunity to attend and present at top big data conferences.  

Outcomes

• Guide strategic customers as they design and implement big data and machine learning projects, ranging from business transformational projects, through to end-to-end machine learning model build and deployment
• Leverage your deep expertise in building machine learning products to guide customers to do the same, through building proofs of concept and prototypes, architecting solutions and even pair-programming with customer teams as necessary
• Architect, implement, and/or validate migration of workloads from 3rd party databases and data platforms to Apache Spark
• Evangelize Spark and Databricks, Delta Lake and MLflow across developer community through meetups and conferences
• Plan and coordinate with Account Executives, Customer Success Engineers and Solution Architects for expanding the use of Databricks platform within strategic enterprise customers on a weekly basis

Competencies

• Design and implementation experience in Big Data technologies (Spark, Hadoop ecosystem, Kafka, NoSQL databases) and familiarity with data architecture patterns (data warehouse, data lake, streaming, Lambda/Kappa architecture)
• Familiarity with the full range of the machine learning space, both the mathematical and statistical theory and the technical applications of these methods
• Experience with building and deploying a range of machine learning models into production, including supervised and unsupervised machine learning and deep learning methods
• Experience with performance tuning, troubleshooting, and debugging Spark and/or other big data solutions
• Comfortable with talking up and down the IT chain of command including directors, managers, architects and developers
• Expertise programming in Python or Scala 
• Experience with cloud providers such as AWS, Azure or GCP
• Willing to travel 30-40% regionally

Benefits

• Competitive salary with generous bonus scheme and pre-IPO RSUs
• Private Medical including Dental
• Pension
• Expensed lunch (every day), snacks, and drinks
• Gym reimbursement
• Employee referral bonus program
• Awesome coworkers

About Databricks

Databricks is the data and AI company. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks simplifies data and AI so data teams can collaborate and innovate faster. More than five thousand organizations worldwide —including Shell, Conde Nast and Regeneron — rely on Databricks as a unified platform for massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. Venture-backed and headquartered in San Francisco (with offices around the globe) 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.