Sr. Manager, Field Engineering - Emerging Enterprise

Databricks Lakehouse

United States, US
$192,100—$264,175 usd py
On-site
Leading technical customer-facing teams
Customer data and ai strategy
Transforming data engineering and ml/ai workloads
Databricks is seeking a Sr. Manager for Field Engineering to lead a team of Solutions Architects focusing on the Financial Services sector. This role requires extensive experience in data technologies and leading technical teams, along with a strong emphasis on relationship-building with clients to enhance data and AI strategies

Job Summary

  • Hire, train, and grow a team of Solutions Architects for a company and business unit in high-growth mode.
  • Consistently meets or exceeds field targets by making sure the SA team knows how to qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors.
  • Establish relationships across internal organizations (partners, services, sales, product, engineering, etc.) to ensure the success of the customers and team.

Matching Summary

Match Score: 85

Databricks is seeking a Sr. Manager for Field Engineering to lead a team of Solutions Architects focusing on the Financial Services sector. This role requires extensive experience in data technologies and leading technical teams, along with a strong emphasis on relationship-building with clients to enhance data and AI strategies.

Salary

$192,100—$264,175 USD

Skills & Requirements

Must-have

  • leading technical customer-facing teams
  • customer data and AI strategy
  • transforming data engineering and ML/AI workloads
  • partnering with sales organization
  • communicating complex value-focused solutions
  • building relationships with key stakeholders

Nice-to-have

  • experience in Financial Services industry
  • inspiring team vision
  • driving executive alignment

Key Requirements

  • 5+ years of experience in the data space
  • 2+ years of experience building and leading technical customer-facing teams
  • Experience with data warehousing, big data, cloud infrastructure, or machine learning

Work Rights

Not specified

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