Databricks

Backend Engineer

• Work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform
• Provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data
• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

Data & AI Platform Architect – Professional Services

Solutions Engineer

• Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows.
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users.
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

Senior Solutions Architect – Strategic AI Native

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

Senior Delivery Solutions Architect – AI Native

Technical Program Manager

• Be responsible for the successful delivery of our most complex customer engagements by providing technical leadership and guidance to the implementation team.
• Guide technical teams through key architectural decisions, helping them navigate trade-offs between established and innovative approaches.
• Proactively identify and mitigate technical risks and dependencies that could impact project timelines and goals.
• Individually deliver on commitments by producing high-quality deliverables, status reports, program plans, and customer responses that require minimal rework.
• Effectively manage all aspects of a program, including scope, schedule, budget, risk, and resources, with a focus on technical complexity.
• Act as the primary point of escalation for customers regarding technical delivery issues and, as needed, escalate to other parts of Databricks for rapid resolution.
• Build trust and credibility with technical teams and stakeholders by clearly articulating Databricks’ vision and solutions and facilitating productive, goal-oriented meetings.

Senior Technical Program Manager, Professional Services – Public Sector

Account Executive

• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts

Account Executive, Manufacturing

Artificial Intelligence

• Own and scale one or more flagship talent development programs (e.g., career development, manager enablement, onboarding, or top talent acceleration).
• Design and implement AI-enabled learning experiences, including copilots, assistants, mentoring networks, and personalized learning pathways.
• Evolve programs from event-based learning to continuous, embedded development in the flow of work.
• Partner with HR, business leaders, and technical teams to translate business problems into scalable development solutions.
• Facilitate global programs across functions and regions (e.g., onboarding, leadership development).
• Build and experiment with new approaches to agentic learning — using AI agents, automation, and knowledge systems to support employees, managers, and leaders in real time.
• Leverage data, experimentation, and analytics to understand skills gaps, adoption, and business impact.
• Measure program effectiveness and continuously iterate using product and growth-mindset practices (pilots, testing, and iteration).

AI Enablement Lead, Talent & Leadership Development

• Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.
• Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems
• Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains
• Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks
• Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings

Senior Specialist Solutions Architect – AI & ML Engineer

Manager

• Work on a variety of impactful customer technical Big Data projects which may include building reference architectures, how-to's and production grade MVPs
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.