Strategic Data & AI Solutions Architect for Enterprise

Databricks; Chicago (IL); On-site; USD 219,100 - 301,300; Full time

Benefits offered by this job

Annual performance bonus

Equity opportunities

Comprehensive benefits

Job summary

Databricks is seeking a Senior Sales Engineer to work closely with Enterprise Account Executives. The role emphasizes defining technical strategies for major accounts to enhance their adoption of data-driven solutions. You will leverage your experience in technical account management and value selling to maximize success in these accounts while building strong relationships.

The ideal candidate should have a solid technical background in big data, data science, and cloud technologies as well as production programming experience. Compensation ranges from $219,100 to $301,300 annually.

Qualifications

• Strong background in value selling and technical account management.
• Experience working with large enterprises to adopt data-driven solutions.
• Ability to present compelling strategies to decision-makers.

Responsibilities

• Serve as the main technical voice for Databricks with multiple clients.
• Lead clients on a transformational journey to adopt Databricks.
• Implement technical strategies and align them with client needs.
• Build a community of technical champions within accounts.

Skills

Technical in big data, data science and cloud

Production programming experience in Python, R, Scala or Java

Data-driven business transformation

Proficiency at establishing virtual teams

Experience with global accounts

Relationship building with executives

Tools

Databricks Certification

Job description

Databricks is seeking a Senior Sales Engineer to work closely with Enterprise Account Executives. The role emphasizes defining technical strategies for major accounts to enhance their adoption of data-driven solutions. You will leverage your experience in technical account management and value selling to maximize success in these accounts while building strong relationships.

The ideal candidate should have a solid technical background in big data, data science, and cloud technologies as well as production programming experience. Compensation ranges from $219,100 to $301,300 annually.