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      <externalid>de79b405-a32</externalid>
      <Title>Sr. Manager, Field Engineering - Financial Services</Title>
      <Description><![CDATA[<p>Job Title: Sr. Manager, Field Engineering - Financial Services</p>
<p>We are seeking a seasoned leader to join our Field Engineering team as a Sr. Manager, Field Engineering - Financial Services. As a key member of our team, you will be responsible for leading a team of Solutions Architects for the Financial Services segment of Databricks&#39; Regulated Industries Field Engineering team.</p>
<p>Responsibilities:</p>
<ul>
<li>Lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI.</li>
<li>Partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers achieve success through Databricks&#39; Data Intelligence Platform.</li>
<li>Scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks&#39; growth in the market.</li>
</ul>
<p>The Impact You Will Have:</p>
<ul>
<li>Hire, train, and grow a team of Solutions Architects for a company in high-growth mode.</li>
<li>Make your customers extremely successful with Databricks and provide outsized value to their businesses.</li>
<li>Maintain a robust hiring pipeline of highly qualified, bar-raising candidates.</li>
<li>Establish relationships across the business to make your customers and team successful.</li>
<li>Keep your team of SAs ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack.</li>
<li>Ensure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs.</li>
</ul>
<p>What We Look For:</p>
<ul>
<li>Proven experience building and leading technical pre-sales teams.</li>
<li>10+ years of experience in the data space with a technical product (i.e., data warehousing, big data, machine learning, or more recently with generative AI).</li>
<li>Trusted advisor to technical executives that guide strategic data infrastructure decisions.</li>
<li>Strong understanding of consumption-driven business models and the recipes for long-term growth and success.</li>
<li>Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.</li>
</ul>
<p>Pay Range Transparency:</p>
<p>Databricks is committed to fair and equitable compensation practices. The pay range for this role is $192,100-$264,175 USD.</p>
<p>Benefits:</p>
<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.</p>
<p>Our Commitment to Diversity and Inclusion:</p>
<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>remote</Workarrangement>
      <Salaryrange>$192,100-$264,175 USD</Salaryrange>
      <Skills>data engineering, data science, data warehousing, generative AI, big data/analytics, enterprise software</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Databricks</Employername>
      <Employerlogo>https://logos.yubhub.co/databricks.com.png</Employerlogo>
      <Employerdescription>Databricks is a data and AI company that provides a data intelligence platform to unify and democratize data, analytics, and AI.</Employerdescription>
      <Employerwebsite>https://databricks.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/8466584002?utm_source=yubhub.co&amp;utm_medium=jobs_feed&amp;utm_campaign=apply</Applyto>
      <Location>Illinois; Massachusetts; New York; Virginia</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
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