Jobs / dat***
Solutions Architect - Lakebase
dat*** · Milan, Italy
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Milan, ItalyOnsite
Remuneration
Not specified
Location
Milan, Italy
Visa sponsorship
Sponsors visa
Job summary
<p>The Solutions Architect (Lakebase) team executes on dat***’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.
Benefits
P><span style="font-family: arial, sans-serif;">Databricks is the data and AI coBr><br></strong></span>At Databricks, we strive to provide comprehensiveThat meet the needs of all of our employees.For specific details on theP><strong>Our Commitment to Diversity and Inclusion</strong></p>P>At Databricks, we are committed to fostering a diverse and inclusive culture wWe take great care to ensure that our hiring practices are inclusive and meet eqP><strong>Compliance</strong></p>P><strong><span style="font-weight: 400;">If access to export-controlled technol
Qualifications
- li>Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.</li>
Responsibilities
- p>The impact you will have</p>
- li>6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.</li>
- li>Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.</li>
- li>Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.</li>
- li>Proficient in programming, debugging, and problem-solving using SQL and Python.</li>
- li>Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).</li>
- li>Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.</li>
- li>Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.</li>
- li>A track record of driving complex projects to completion in fast-paced, customer-facing environments.</li>
- p data-renderer-start-pos="2729"> </p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><strong>Pay Range Transparency</strong></p>
- p><br>dat*** 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.
Skills
EnglishExcelLeadership
Degrees
AssociateBachelorDegree
Languages
English
Industry
MediaPublic-sector
Company size
EnterpriseSmb