Most Loved Workplace® Certified JobStaff Technical Solutions Engineer, Data & AI
Most Loved Workplace® Certified JobAbout the Role
At Databricks, a Most Loved Workplace® certified employer in the Technology space, Democratizing data and AI for every organization worldwide.
<p><strong>P-1411</strong></p>
<p><strong>Note: this is a hybrid role and requires ~3 days in the office in São Paulo-SP.</strong></p>
<p><strong>Mission&nbsp;</strong></p>
<p>As a Staff Data &amp; AI Technical Solutions Engineer, you will personally drive and mentor others in producing Data &amp; AI technical solutions for any issues reported by customers - including deep diving into production data pipelines, AI workflows, streaming data ingestion, and more.&nbsp; You have deep expertise in Data &amp; AI architectures, having seen a broad set of use cases and successfully maintained complex production environments while adhering to SLA’s. You collaborate effectively with other teams, such as product engineering and customer account teams, to deliver results for customers, especially during critical production downtime situations. You provide customers with the guidance, knowledge, and expertise to build performant architectures and reliable services to achieve their strategic objectives using Databricks’ platform. Reporting to a TSE manager, you are a technical expert within a world-class global support engineering organization, recognized for your leadership, technical depth, and ability to troubleshoot even the most complex customer situations.</p>
<p><strong>The impact you will have:</strong><strong>&nbsp;</strong></p>
<ul>
<li>Be directly responsible for leading and driving technical solutions for a breadth of complex problems reported by Databricks customers, including escalated and critical scenarios.</li>
<li>Deep Dive into code-level analysis and systems architecture of customer workloads to address issues related to Databricks products - including Spark core internals, Spark SQL, Delta, DLT, and Model Serving.</li>
<li>Serve as a customer support advisor - be able to diffuse esc
Want to learn more about what it's like to work at Databricks? View our full profile.
Prefer to apply on the company's career site?
View Original Posting
Why This Is a Most Loved Workplace® Certified Job
Systemic Collaboration
As Databricks continues our rapid growth, we strive to maintain a culture as open and transparent as it was in Databricks’s early days. Making sure employees have regular access to our CEO and co-founders to hear directly about our vision and priorities helps our employees forge a connection between Databricks priorities and their daily work.
Positive Vision for the Future
Databricks’ culture principles are derived from an internal study of the behaviors that have led to high impact work at Databricks. These values have a direct impact on company culture and play a large part in connecting teams across the organization. We believe in being customer-obsessed, truth-seeking, operating from first principles, having a bias for action, and putting Databricks first. Our co-founders are fully involved in day-to-day operations, including business and technical reviews, working alongside our team members to ensure that we are always aligned with our values.
Alignment of Values
Databricks’ CEO and Co-founder, Ali Ghodsi leads by example with a focus on truth-seeking and first principles thinking, two of Databricks’ core values that stay true to Databricks’s origins in academia. He champions the importance of data and reason to question biases and inform decisions. Ali remains hands-on with research and development and hosts company-wide weekly all hands, with a CEO “ask me anytime” session at the beginning of every agenda. His transparency and accessibility are core to the open and collaborative culture of Databricks.
Respect
At Databricks, we cultivate an environment where all employees can bring their unique selves and are empowered to do the best work of their careers. To ensure all voices are heard and ideas are valued, we conduct annual culture and pulse surveys and host all-hands Q&As to collect feedback from all employees. We then report back to Databricks on the specific changes implemented from the feedback collected to ensure employees feel heard and that their feedback is valued. In addition, we invest in our seven Employee Resource Groups (ERGs) that offer support and employee engagement events for individuals from underrepresented backgrounds and allies.
Killer Outcomes
Databricks prioritizes offering an exceptional employee experience by investing in tools, workspaces, and community-building. Our collaboration-first, hybrid model offers flexibility with in-person touchpoints like our annual employee kickoff, weekly CEO all-hands with happy hours, and monthly team building budgets. We are especially focused on maintaining a culture of transparency, honesty, and trust, with leaders actively engaging across channels like Slack and all hands while also championing inclusion efforts through ERG sponsorship. These initiatives help our team feel connected, valued, and empowered to do their best work.
What It's Like to Work Here
Frequently Asked Questions About Working at Databricks
Common questions candidates ask about this role and Databricks's workplace
Apply for Staff Technical Solutions Engineer, Data & AI
Submit your application directly to the Databricks team. Let them know why you'd be a great addition to their loved place to work.
