Databricks vacatures in Amsterdam
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- The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly…
- DatabricksAmsterdam
- This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with…
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- The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day.
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- The ideal candidate will have a mix of technical expertise in one of language toolchains (Scala, Rust, Python), build systems (especially Bazel), compilers,…
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- As a Technical Product Manager, you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we…
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- In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists…
- DatabricksAmsterdam
- In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists…
- DatabricksAmsterdam
- The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day.
- DatabricksAmsterdam
- You will be the Product Manager for the Databricks Runtime team in Amsterdam.
- As the Product Manager, you will develop a deep understanding of modern cloud…
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- Zoeken op salaris: Staff Product Manager salarissen in Amsterdam
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- Note that this is a hybrid role and the person needs to go to the office, based in Amsterdam, at least 3x a week.
- The Impact You Will Have.
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- Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way…
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- Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation and a passion for customer…
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- Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and…
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- We're a tight-knit team of security incident responders and incident handlers doing "Security for Databricks on Databricks", using our own platform to create…
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- Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and…
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- As a Sr. Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the…
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Job Post Details
Senior Solutions Architect - Lakebase - job post
Vacaturegegevens
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The Solutions Architect (Lakebase) team executes on Databricks’ 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. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.
The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.
The Lakebase product-line requires the following core technical competencies:
- 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.
- Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities.
- Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.
- Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)
The impact you will have
- Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
- As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.
- Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
- Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
- Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.
Competencies & Responsibilities
- 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
- 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.
- Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.
- Proficient in programming, debugging, and problem-solving using SQL and Python.
- Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
- 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.
- Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
- A track record of driving complex projects to completion in fast-paced, customer-facing environments.
About Databricks
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 Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
Our Commitment to Diversity and Inclusion
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.
Compliance
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.