Most Loved Workplace® Certified JobManager, Delivery Solutions Architects - Toronto, ON
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>REQ ID - CSQ427R107</p>
<p>Location: Toronto, ON</p>
<p>Build and lead a team of Delivery Solution Architects. DSA’s lead the post sales technical strategy for our largest Enterprise customers, with a focus on ensuring use cases go into production as quickly and smoothly as possible. This requires resource orchestration skills and a solid understanding of Databricks technology and the Data+AI ecosystem.&nbsp;</p>
<p>As a DSA Manager, you will shape and monitor the post sales execution strategy for the customers in your region, in close collaboration with our sales, pre-sales and professional services teams as well as partners. You will be responsible for the DSA team in the Canada region and you will report to the Director, Field Engineering in Canada.</p>
<p>You will make investment decisions in collaboration with the sales and pre sales managers for your region. You will help shape and adjust the value proposition of the DSA role for your region and promote it in front of sales teams and customers.&nbsp;</p>
<p>You will be technical sponsor and thought-leader to a select number of customers. You will hire and coach your team to prioritize and work with different customer stakeholders up to C-level executives, with the goal of driving usage growth by getting use cases into production, faster.&nbsp;</p>
<p>You and your team will contribute to the creation of assets to build the Delivery Solution Architecture practice and improve effectiveness and consistency in working with customers.</p>
<p>The Impact You Will Have</p>
<ul>
<li>Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (usage growth, career growth and hiring)</li>
<li>Hire, coach, and grow a team of Delivery&nbsp; Solutions Architects for a company in high-growth mode</li>
<li>Keep your team of DSA’s ahead of the technical curve. A DSA adds value by maintaining advanced knowledge of the technology stack, and advising customers on the best use of it in their architecture. You will make sure that your team is continuously learning and staying in-line with&nbsp; the other field functions while consistently exceeding their certification goals</li>
<li>Assign accounts and distribute work across individuals for optimal customer coverage and team balance</li>
<li>Inspire the team to be customer obsessed by understanding customer goals, their use cases, and Databricks technology</li>
<li>Build relationships and partner with Sales, pre Sales and professional services teams to accelerate growth of customers</li>
<li>Work with cross functional teams to reduce customer risk and help your team with escalations and address any issues or blockers</li>
<li>Lead team activities to monitor customer progress and forecast growth</li>
<li>Provide input to grow and improve internal processes, drive operational rigor and lead programs that drive impact across the organization</li>
<li>Maintain a robust hiring pipeline at all times</li>
</ul>
<p>What We Look For</p>
<ul>
<li>7+ years of successful experience in a customer facing role</li>
<li>Proven delivery experience in SaaS Technologies, particularly in the areas of Data Analytics, Data Warehousing, Data Engineering, ETL, Machine Learning, AI or Data Science.</li>
<li>Experience building and leading technical post-sales teams - hiring, on-boarding, and enabling post-sales professionals</li>
<li>Trusted advisor to technical executives that guide strategic data project delivery decisions</li>
<li>Lead a team through best practices for architecture discussions, use case&nbsp; Go-Lives, creating project and execution plans and customer growth strategy</li>
<li>Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners</li>
<li>Experience in delivery and deployment of workloads or data products into production, e.g. in a delivery architect, project manager, devops, or service/product owner role</li>
<li>Conversant with business issues our customers face today and likely big data use cases in different industries</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p>
<p><strong>Pay Range Transparency</strong></p>
<p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.&nbsp;<br></span></p>
<p>&nbsp;</p></div><div class="title">Canada Pay Range</div><div class="pay-range"><span>$254,000</span><span class="divider">&mdash;</span><span>$340,000 CAD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on&nbsp;<span style="color: rgb(255, 54, 33);"><a style="color: rgb(255, 54, 33);" href="https://twitter.com/Databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://twitter.com/Databricks&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw03FL8fJvOD97ytN02f5G2C">Twitter</a>,&nbsp;<a style="color: rgb(255, 54, 33);" href="https://www.linkedin.com/company/Databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.linkedin.com/company/Databricks&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt">LinkedIn</a>&nbsp;<span style="color: rgb(0, 0, 0);">and</span>&nbsp;<a style="color: rgb(255, 54, 33);" href="https://www.facebook.com/databricksinc" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.facebook.com/databricksinc&amp;source=gmail&amp;ust=1700237575733000&amp;usg=AOvVaw39EcncitnlqV72EG2-RqXJ">Facebook</a></span>.<br><br><strong>Benefits<br><br></strong></span>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 click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>
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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.
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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.
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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.
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