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Designs and scales AI-driven learning programs to upskill Databricks users globally, from pilot to full adoption, using data, automation, and cross-functional collaboration.
Embed with enterprise customers to design and build full-stack applications on the Databricks Data Intelligence Platform, integrating data engineering, AI, and user-facing systems.
A presales Solutions Architect at Databricks partners with customers to design and demonstrate scalable data and AI solutions using the Databricks platform, combining technical expertise with business acumen.
A senior role designing and deploying Databricks-based big data and AI solutions for enterprise customers, writing Python/Scala code and advising on cloud-native architectures across AWS, Azure, and GCP.
Provide high-level administrative and operational support to a Chief Operating Officer at a global data and AI company, managing complex schedules, global travel, and cross-functional initiatives.
Senior Solutions Architect at Databricks partners with enterprise clients in oil, gas, and energy to drive adoption of data, AI, and ML solutions, leveraging cloud and big data expertise.
Designs and delivers tailored training programs to help enterprise customers adopt and maximize value from Databricks' data and AI platform, working closely with sales and technical teams.
Senior Solutions Architect at Databricks in London advises enterprise customers on adopting the Data Intelligence Platform, designing solutions for data challenges, and collaborating with cross-functional teams.
This role bridges Databricks and Microsoft Azure, aligning product roadmaps, driving integrations, and ensuring seamless interoperability between the two platforms.
Design and implement big-data architectures for financial-services customers using Databricks’ lakehouse platform, open-source tools like Apache Spark and MLflow, and public clouds.
Senior customer-facing engineer at Databricks who designs and builds end-to-end data/AI solutions on the Databricks platform, then hands them off to enterprise clients.
Designs and implements big data and AI architectures for enterprise customers, guiding them through Databricks' platform and open-source tools like Spark and MLflow.
Designs and enforces enterprise security controls for SaaS platforms, AI integrations, and cross-system data flows, partnering with engineering and business teams to reduce risk and embed secure patterns.
Senior Solutions Architect at Databricks designs and advises on data analytics architectures using the Databricks Data Intelligence Platform, engaging with global telecommunications customers and cloud ecosystems.
Leads complex enterprise data and AI strategy for Databricks’ largest customers, designing scalable architectures (multi-workload, real-time, AI/ML) and mentoring teams to drive platform adoption and revenue growth.
Senior Solutions Architect at Databricks designs and advises on big data, AI, and data engineering solutions using the Databricks Lakehouse Platform, collaborating with customers and internal teams to drive technical outcomes.
Designs and drives the technical adoption of Databricks’ data and AI platform for large customers, aligning stakeholders and accelerating production workloads.
You act as a product manager and trusted advisor for Databricks' most strategic customers, scoping high-value AI solutions, defining pilots, and driving end-to-end delivery from discovery to production adoption.
A hands-on, customer-facing engineer who designs and implements data & AI solutions on the Databricks platform, working directly with enterprise clients to deliver production-grade systems and drive measurable outcomes.
Principal Data Scientist at Databricks shapes high-level data-driven decisions for executives by translating complex statistical insights into clear narratives, ensuring rigorous analytical standards across the company.
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