Auf einen Blick
- Aufgaben: Gestalte die Zukunft der Big Data Landschaft mit innovativen Lösungen und Technologien.
- Unternehmen: Führendes Unternehmen im Bereich KI mit einer dynamischen und unterstützenden Kultur.
- Vorteile: Attraktives Gehalt, Leistungsboni, Aktienoptionen und umfassende Sozialleistungen.
- Weitere Informationen: Flexible Remote-Arbeit und großartige Entwicklungsmöglichkeiten in einem wachsenden Team.
- Warum dieser Job: Arbeite an spannenden Projekten und entwickle Lösungen, die echte Probleme lösen.
- Qualifikationen: Mindestens 5 Jahre Erfahrung in Datenengineering oder technischer Architektur.
Sr. Solutions Architect – AI Natives Business
Locations
Remote – California, Oregon, Washington (Pacific Time preferred; Mountain Time considered)
As a Solutions Architect on the AI native team supporting the Digital Natives business, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.
Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs.
You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.
Responsibilities
- Partner with the sales team and provide technical leadership to help customers understand how Databricks can solve their business problems.
- Consult on Big Data architectures, implement proof‑of‑concepts for strategic projects spanning data engineering, data science, machine learning, and SQL analysis workflows.
- Validate integrations with cloud services, home‑grown tools, and other 3rd party applications.
- Collaborate with fellow Solutions Architects to support each other and our users.
- Become an expert in, promote, and recruit contributors for Databricks‑inspired open‑source projects (Spark, Delta Lake, MLflow) across the developer community.
Qualifications
- 5+ years in a data engineering, data science, technical architecture, or similar pre‑sales/consulting role.
- Experience building distributed data systems.
- Comfortable programming in and debugging Python and SQL.
- Built solutions with public cloud providers such as AWS, Azure, or GCP.
- Expertise in one of the following: Data Engineering technologies (Spark, Hadoop, Kafka) or Data Science and Machine Learning technologies (pandas, scikit‑learn, Py Torch, Tensor Flow).
- Available to travel to customers in your region (Desired).
- Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).
- Nice to have: Databricks Certification.
NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, we want to work with smart, passionate people who are good at their job, and, a lot of times, those people have non‑linear career paths.
Pay Range Transparency
Salary range: $219,100 — $301,300 USD. Total compensation may include annual performance bonus, equity, and benefits.
Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees. Details are available for specific regions.
Individuals seeking 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, socioeconomic status, veteran status, and other protected characteristics.
We comply with equal employment opportunity standards.
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Sr. Solutions Architect - AI Natives Business Arbeitgeber: Embedded Shishya
Jitterbit ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, in einem dynamischen und wachsenden Umfeld zu arbeiten, das sich auf die Integration von Plattformen als Dienstleistung (iPaaS) spezialisiert hat. Mit einem flexiblen, remote-freundlichen Arbeitsmodell und einer Unternehmenskultur, die auf Zusammenarbeit und persönlichem Wachstum basiert, fördern wir Ihre Karriere durch Mentorship und kontinuierliche Entwicklung. Hier haben Sie die Chance, bedeutende Partnerschaften zu entwickeln und die Zukunft der API-Nutzung in geschäftskritischen Prozessen mitzugestalten.
