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Build trusted client relationships and demonstrate Databricks solutions through hands-on evaluations, Spark programming, proofs of concept, workshops, and technical presentations. Advise customers on big data analytics, solution architecture, data engineering, cloud integrations, and business value. Author reference architectures, how-to guides, and demo applications while developing toward independent Solutions Architect responsibilities.

Lead complex enterprise customer engagements as the senior technical authority for data and AI strategy. Drive Databricks adoption, consumption, competitive displacement, and revenue growth through architecture, migrations, streaming systems, lakehouse platforms, and AI/ML solutions. Manage executive relationships, orchestrate cross-functional teams, mentor solutions architects, develop competitive strategies, and contribute to technical thought leadership. Weekly travel is required.

Leads complex, multi-quarter Professional Services and Training engagements for Digital Native Business customers. Drives regional impact, booking and consumption goals, solves complex multi-country challenges, shapes account and sales strategy, develops senior customer relationships, and mentors Engagement Managers. Requires deep Databricks architecture and ecosystem expertise, strategic account planning, external thought leadership, hiring participation, and 25–50% travel.

Leads global marketing planning, investment allocation, capacity modeling, and target setting. Builds and manages a new team while redesigning marketing workflows for AI and agent-based execution. Drives organization-wide adoption, establishes standards for prompts and context, and implements AI governance around quality, risk, privacy, and responsible use. Partners with Marketing, Finance, Sales Strategy, and data and platform teams to improve pipeline efficiency, time to market, and growth across business units.

Lead the design and development of sales data models, CRM-integrated AI agents, and permissioned write paths for revenue teams. Build scalable GenAI interfaces for complex workflows with transparency and human approval. Partner with product, design, and engineering teams to define initial use cases, launch MVPs, and drive adoption. Provide technical and people leadership in a 0-to-1 product environment.

Advise international public sector stakeholders on EMEA compliance, government contracting, procurement, and integrity risks. Localize global compliance guidance across jurisdictions, create scalable playbooks and enablement materials, partner cross-functionally to support responsible growth, and lead internal investigations when needed. The role requires executive-ready communication, practical risk balancing, and the ability to translate complex legal issues into actionable processes.

Leads scalable advertising data ingestion, normalization, aggregation, identity resolution, and agentic workflow development. Establishes correctness and evaluation standards for noisy measurement data, while partnering with product, design, and engineering teams to deliver scalable solutions. Requires deep advertising API and ad-tech measurement expertise, production LLM experience, and technical and people leadership in complex enterprise environments.

Own a portfolio of approximately 10 large enterprise accounts across the Nordics. Develop territory strategy, drive consumption growth, identify new use cases, exceed revenue and activity targets, manage forecasting and customer details in Salesforce, communicate platform value, and maintain customer satisfaction. The role requires enterprise software sales experience, consumption and commit-deal expertise, quota achievement, MEDDPICC and Value Selling knowledge, stakeholder mapping, and fluency in English plus a Nordic language.

Develop and productionize GenAI applications for federal-sector customers, including RAG, multi-agent systems, Text2SQL, and fine-tuning solutions. Advise customers, lead production rollouts, present technical concepts, collaborate with product and engineering teams, and influence the AI product roadmap. The role requires production machine learning deployment experience, strong data science expertise, customer-facing communication, U.S. citizenship, Secret clearance eligibility, and periodic customer travel.

Design, develop, and maintain high-performance Databricks SQL drivers and partner integration infrastructure. Improve connector reliability, telemetry, and performance; maintain open-source repositories; engage the developer community; and collaborate with SQL server, product, and cross-functional teams. The role also involves shaping Databricks Partner Connect, defining technical requirements, architecting robust systems, and leading engineering projects across organizational boundaries.