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DatabricksDatabricks

Sr. Manager, Field Engineering - Digital Native Business

Leads a team of Solutions Architects to drive Databricks platform adoption among digital native tech companies, focusing on technical qualification of workloads, building POCs, and establishing trusted advisor relationships. Requires 7+ years in data technologies and 5+ years leading customer-facing technical teams.

About the job

Responsibilities

  • Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.
  • Adapt the SA team's skills and engagement model to match the needs of Digital native customers.
  • Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle.
  • Travel to customer sites for executive sessions, technical workshops, and building relationships.
  • Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team.
  • Stay current with emerging Data and AI trends in the digital native tech sector.

Requirements

  • 7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning).
  • 5+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment.
  • A history of building a territory, growing strategic accounts, and exceeding targets.
  • Inspiring a team vision about the unique nature of the digital natives business.
  • A history of execution by managing workloads and consumption with sales, product, and engineering counterparts.
  • Experience owning executive alignment in accounts that guide strategic decisions.

Compensation

Local Pay Range: $192,100—$264,175 USD

Skills

Data Warehousing, Big Data, Cloud Infrastructure, Machine Learning, Data Analytics, AI, Spark, Delta Lake, Proof Of Concepts, Solutions Architecture

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