Lakebase Sales Specialist Jobs

MKTQ427R47 Sr. Partner Marketing Manager, AWS & AI Partners Sr. Partner Marketing Manager, AWS & AI partners, will accelerate Databricks’ growth by turning strategic cloud and AI ISV partnerships into measurable demand, pipeline, and customer-adoption outcomes. This role connects partner strategy, joint messaging, campaigns, events, and field execution across AWS and strategic technology partners. Impact You’ll Make Ensure the annual AWS joint marketing plan is delivering against agreed GTM priorities and assigned partner pipeline targets aligned to Databricks’ strategic products, including Genie, Unity Gateway, and Lakebase. AWS Marketing Development Funds (MDF) are deployed through clear investment tiers, approval workflows, vendor governance, and ROI reporting that enables informed re-investment decisions. Databricks’ presence at AWS re:Invent, AWS events, and related programs are producing agreed engagement, demand, and opportunity outcomes through coordinated events, content, demos, and activations. AWS and strategic AI/ISV co-marketing programs are generating net-new demand and supporting active opportunities, with sourced and influenced pipeline traceable through deal registration, SFDC matching, and partner lead tracking. Joint marketing plans, messaging, and customer-use-case campaigns with strategic AI/ISV partners are increasing awareness and creating demand for Databricks solutions. Created content in joint-marketing plans are supported with solution briefs, integration use cases, campaign assets, and customer proof points that are adopted across relevant partner and field teams. Product feature and integration launches with AI/ISV partners, along with at least six customer stories or joint announcements annually, are increasing market proof, partner activation, and customer adoption. Partner marketing motions and communications are scalable across regions, with standardized campaign kits, enablement touchpoints, and engagement or adoption result

P-1514 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads. Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the founding engineers to build out both the Lakebase product and our London presence. Below are some example teams you can join: Lakebase Platform Reliability : Constantly evolving Lakebase Reliability. That includes cross-functional infrastructure, observability, SLI/SLOs definition and measurements, as well as achieving higher operational efficiency without the need for humans-in-the-loop (both internal and customer-facing), via building AI-powered automation and services Lakebase Manager (LBM): Build and operate the central control plane that owns the core logic for Lakebase — database creation and deletion, wake-up and s

MKTQ427R51 As a Senior Public Relations Manager, you'll help shape the voice of one of the biggest tech companies today at the forefront of data + AI. You’ll help build our story and put Databricks at the center of conversations that matter today. This is a high-impact, high-visibility role for a strategic storyteller who thrives in fast-moving environments. In this role, you'll partner directly with the Senior Director of Global Communications to lead PR programs that elevate our profile, showcase our innovations, and position our leaders at the center of enterprise AI. You'll lead product and corporate PR initiatives, including product launches, partner announcements, customer storytelling, funding news and acquisitions. You'll also use AI and agents to work faster, automate routine tasks, and push the boundaries of what a modern comms team can do. The impact you will have: Shaping communications strategy : Set the direction for Databricks' PR programs, aligning them with our business goals, product roadmaps, and company thought leadership. You will be leading product launches (e.g., Genie, Lakebase, and other platform innovations), partner PR, customer storytelling, financial announcements, and we are looking for core expertise in these areas. Success looks like consistent, high-quality coverage around every major launch and a clear narrative arc that positions Databricks as the leader in data + AI to our target audiences. Generating high-quality media + new media coverage : Drive meaningful business outcomes by securing high-quality PR coverage in top-tier media outlets and new media publications, enhancing our brand recognition and credibility in the industry. Within 12 months, grow our presence in priority publications, improve sentiment in competitive coverage, and build a portfolio of earned media wins tied to product launches, partnerships, and corporate news. Driving cross-functional collaboration : Collaborate with marketing, product, corporat

(FEQ128R2) The Role As a Specialist Solutions Architect (SSA) – Data Engineering, you are a hands-on technical authority who guides strategic customers in designing, building, and optimizing production-grade data workloads on the Databricks Data Intelligence Platform. Partnering closely with Account Teams and Solution Architects, you translate complex big data challenges into high-performance, scalable architectures using Apache Spark™ and modern streaming frameworks. In this role, you will drive successful implementations, align technical roadmaps to accelerate platform adoption, and establish deep domain specialization; whether in real-time streaming, performance optimization, or operational data layers, while expanding your impact across Field Engineering. The impact you will have: Drive Technical Wins & Scope: Lead end-to-end technical design, proof of concepts (PoCs), and workload sizing for strategic customer engagements, acting as a trusted advisor to front-line technical stakeholders to secure technical wins. Architect Production Data Systems: Design, build, and optimize scalable, high-performance batch and streaming pipelines, operational data layers (Lakebase), and end-to-end performance load testing on Databricks. Deploy Interactive Data Applications: Build and operationalize custom user-facing data applications using Databricks Apps, transforming data pipelines and AI models into interactive tools. AI-Native Engineering: Leverage AI coding assistants, LLMs, and agentic workflows (e.g., Genie Code, Cursor) as a force multiplier to rapidly prototype, debug, and deliver architectural assets with full ownership of outputs. Enablement & Domain Leadership: Mentor peers, contribute reusable architecture assets, and deliver technical workshops and community presentations to scale expertise across accounts and field teams. What we look for: Deep Data Engineering Expertise: 5+ years in data or software engineering with hands-on proficiency in distrib