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Isv Solutions Architect, Product Partnerships
Posted on 5/6/2022
INACTIVE
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Data Science
Google Cloud Platform
Hadoop
Kafka
Java
Leadership
Marketing
Microsoft Azure
Sales
Scala
SQL
Python
Writing
Requirements
  • Strong software enterprise architecture skills, preferably in context of data products (data engineering, AI/ML or BI)
  • Prior experience in partner solutions architecture or business development teams
  • 3-5 years in partner or customer-facing pre-sales, technical architecture or consulting role
  • Ability to design and architect distributed data systems
  • Comfortable writing code in either Python, Scala or Java
  • Basic SQL experience a must
  • Experience with Big Data Technologies such as Spark, Hadoop, Kafka, and Storm
  • Experience working on clouds (AWS, Azure or GCP)
  • Outstanding verbal and written communication skills
  • Excellent presentation and whiteboarding skills
  • Comfortable with traveling to domestic and international locations
Responsibilities
  • Become a technical expert on the full Databricks platform
  • Participate in the technical qualification of an integration and identify value of a partnership to customers, Databricks and partners
  • Provide technical leadership in the design and delivery of an ISV integration - this includes activities such as best practices for integration, removing technical roadblocks, educating partners on Databricks products and rolling up feedback to PM on integration needs of partners
  • Project manage technical aspects of the life cycle of an ISV integration from design to ongoing evolution
  • Build references architectures, presentations, and demos for field organization and technical marketing purposes
  • Validate and test integrations, along with infrastructure for automating tests and demo environments
  • Participate as an overlay pre-sales role in sales cycles involving partner products
  • Participate as a SME in ongoing success of customers who have adopted integrations
  • Help measure and track KPIs of partnerships
  • Participate in continued evolution of the partnership ecosystem in a fast paced, hyper growth environment
  • Travel to partner and Databricks conferences
Databricks

1,001-5,000 employees

Unified, open platform for enterprise data
Company Overview
Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
Benefits
  • Extended health care including dental and vision
  • Life/AD&D and disability coverage
  • Equity awards
  • Flexible Vacation
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Employee Assistance Program (EAP)
  • Business travel accident insurance
  • Paid Parental Leave