Design and deploy modern Single Page Applications and scalable backend services using REST APIs. Collaborate with cross-functional teams to integrate applications with data and analytics platforms while driving technical standards.
Lead complex healthcare customer engagements to migrate legacy Teradata environments into modern cloud Lakehouses. Design and implement automated cloud infrastructure using Terraform while ensuring strict HIPAA and PHI compliance.
Lead the design and implementation of enterprise-scale data architectures on the Databricks Lakehouse Platform. Serve as a senior technical advisor to clients, bridging business objectives with technical execution and mentoring client teams.
Lead complex customer engagements from discovery to delivery, focusing on the architecture and optimization of large-scale Spark and Databricks workloads. Act as a strategic technical advisor to implement scalable, cost-efficient data solutions and mentor junior engineers.
Lead complex customer engagements from discovery to delivery, focusing on the architecture and optimization of large-scale Spark and Databricks workloads. Act as a strategic technical advisor to implement scalable, cost-efficient data solutions and mentor junior engineers.
The Resource Manager is responsible for matching Databricks talent with complex project requirements to optimize consultant deployment and utilization. This includes managing resource allocations in Salesforce and providing data-driven reports to leadership.
Lead complex customer engagements from discovery to delivery, focusing on the architecture and optimization of large-scale Spark and Databricks workloads. Act as a strategic technical advisor to implement scalable data solutions and mentor junior engineers in Lakehouse design.
Execute field, partner, and demand generation marketing across the Americas, with a specific focus on joint initiatives with Databricks. Manage the end-to-end delivery of campaigns, webinars, and in-person events to support pipeline growth.
Act as the primary technical advisor for strategic client accounts to drive the architecture and adoption of the Databricks Platform. Bridge the gap between high-level business requirements and technical delivery to maximize AI and data investments.
Lead the architectural design and migration of legacy SQL Server systems to a cloud-native Databricks Lakehouse platform. Define migration strategies for complex stored procedures and implement high-performance distributed processing frameworks.
Lead end-to-end ML project implementations for clients, translating business problems into production-grade technical solutions. Design and maintain scalable ML pipelines and Generative AI applications using MLOps best practices.
The Senior AI Engineer / Data Scientist will lead end-to-end ML implementations with clients, translating business problems into technical solutions. They will also design and maintain production-grade ML pipelines and deploy advanced Generative AI and NLP applications.
Lead customer engagements from discovery to delivery, ensuring full ownership and accountability. Architect and optimize large-scale Spark/Databricks workloads while collaborating with cross-functional teams.
Lead the design and deployment of production-grade Big Data and AI solutions as a trusted advisor for strategic customers. Balance hands-on engineering and coding with strategic consulting to optimize distributed compute workloads and influence the product roadmap.
The Senior Marketing Manager will execute field, partner, and demand generation marketing across the Americas, focusing on joint marketing initiatives with Databricks. This includes managing campaigns, events, and partner coordination to ensure timely and impactful program delivery.
