Jobs at Databricks

Drive enterprise sales of Databricks’ cloud data platform, managing new and existing accounts, complex sales cycles, executive relationships, pipeline, forecasting, and revenue targets. The role requires solution-based selling, customer vision expansion, opportunity prioritization, and communicating cloud and big-data technology value to customers and system integrators, particularly within financial services.

Owns a portfolio of 10–20 mid-sized Canadian enterprise accounts, managing the full B2B sales cycle from prospecting and discovery through contract close and consumption growth. The role requires building pipeline, expanding workloads, developing ROI cases, selling to technical and executive stakeholders, coordinating with Solutions Architects and partners, forecasting in Salesforce, and driving Databricks implementations from proof of concept to production.

Drive enterprise sales of Databricks’ cloud data platform to telecommunications and strategic accounts. Responsibilities include acquiring net-new logos, expanding existing accounts, managing complex sales cycles, engaging CIOs and other executives, forecasting in Salesforce, exceeding revenue targets, and communicating the value of cloud and big data solutions. The role requires a consultative, solution-based selling approach and experience closing enterprise technology deals.

Lead technical strategy and pre-sales engagement for large enterprise accounts, guiding customers through Databricks adoption and data-driven transformation. Build executive relationships, present technical value propositions, coordinate virtual teams, develop technical champions, align account strategies, and mentor colleagues. The role requires expertise in big data, data science, cloud, ML and AI use cases, plus production programming experience in Python, R, Scala, or Java.

Lead technical strategy and adoption of Databricks solutions for large financial services and insurance accounts. Partner with enterprise sales teams, executives, influencers, and technical resources to drive data and AI transformation, build technical champions, guide evaluations, and align solutions with business outcomes. The role requires expertise in big data, data science, cloud platforms, machine learning, programming, value selling, and technical leadership across global enterprise accounts.

Lead technical strategy and pre-sales engagement for major financial services and insurance accounts. Guide enterprise customers through data and AI transformation, drive Databricks adoption, build technical champions, present solutions to executives, and coordinate sales and technical teams. Apply expertise in big data, data science, cloud platforms, machine learning, and production programming to deliver business outcomes across large global accounts.

The Lakebase Sales Specialist will drive Lakebase revenue through account engagement and effective sales strategies, targeting operational and AI-native applications. Responsibilities include POC orchestration, multi-threaded sales cycle management, and cross-functional collaboration with product and marketing teams.

Partner with sales and customer technical teams to design and deliver scalable Databricks Lakehouse architectures, present reference architectures and demos, validate integrations, and drive adoption of data engineering, data science, and ML solutions. Serve as a trusted technical advisor throughout the sales lifecycle and manage delivery of production data solutions.

Prospect and close new startup accounts while expanding existing customers for Databricks Lakehouse. Build a territory plan, drive transactions and strategic deals, meet pipeline and revenue targets, maintain Salesforce and Clari hygiene using MEDDPICC, and communicate product value to compress decision cycles.