Journey Architect, Digital Self Service

Databricks' success depends on building trust and engagement with an ever-growing audience of data scientists, analysts, and data engineers. We're building our Self-service team to grow adoption of data engineering, data science, machine learning, and deep learning technologies. These include popular open-source projects such as Delta Lake, MLFlow and Koalas.

We're looking for a technical journey architect with growth and go-to-market experience. If you have built for customer engagement and growth this opportunity will be exciting for you. We're looking for analytical individuals who can blend scientific rigor with customer empathy. Our mission: turning our global customers worldwide into Databricks champions.

You'd be our champion in making Databricks simple! Get ready to build for scale and dive into the product.

Day in a life:

• Technical expertise:
  • You'd build user segmentation through data analyses and informing predictive models.
  • You'll establish yourself as a technical leader, lead discussions to influence the product roadmap.
• What you'll build
  • Self-serve experiences that span the customer lifecycle in and out of product.
  • Partner as part of our Growth team to create the roadmap and build product or experiment requirements.
  • Measurements to assess growth, improve time to value and accelerate usage.
  • Experience and product design specs, UX prototypes, and related metrics.
• Journey orchestration:
  • Grow awareness and engagement of Data Engineering (Delta Lake), Machine Learning and Deep Learning capabilities (PyTorch, TensorFlow, Spark MLlib, Koalas), and Machine Learning Lifecycle.
  • We work on some of the most complex distributed processing systems and our customers challenge us with interesting new requirements. As this complexity grows, you'd help simplify the customer experience.
• Cross-group relationships
  • Collaborate with Sales, Marketing and Enablement teams to integrate community, learning, and product content.
  • Partner with Data Science, Product Managers (PMs), Product Marketing Managers (PMMs), and Field Engineering to personalize user experiences.

What we look for:

• Minimum 6 years of experience working in technical roles (in Product, Growth, Field Engineering, Customer Success, consulting, or related discipline). You will report into Field Engineering.
• Experience at a SaaS company or cloud architectures such as AWS or Azure.
• Familiarity with Python, SQL, R or Data Analytics tools.
• Experience with databases and data warehousing and working with large-scale data processing services (Hadoop)
• Background in machine learning or working with ML tools and services.
• Remote role with some travel involved. #LI-Remote
• Bachelor's degree in computer science or related field.

Benefits

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Employee Assistance Program (EAP)