Data Excellence Manager Jobs

MKTQ227R16 Databricks is building a new generation of native applications built on the Databricks Platform that help customers unlock value from their data faster. Lakewatch is the first of these apps, giving cybersecurity, governance, and risk teams an open, agentic Security Lakehouse that unifies security, IT, and business data into a single, governed environment for AI-powered detection, investigation, and response. We are looking for a Sr. Product Marketing Manager to support the marketing strategy for these emerging applications to support Lakewatch in its next phase of growth. In this role, you will shape and execute the go-to-market strategy and tactics for Lakewatch and other applications in the Agentic Apps portfolio, collaborating closely with demand generation, sales, partners, external agencies and contractors, and the broader Databricks marketing organization to drive awareness, adoption, and expansion for this first-of-its-kind motion at Databricks. This role sits within the product marketing organization and works cross-functionally with demand generation, product, sales, and alliances. The impact you will have: Hit or exceed Lakewatch and Agentic Apps pipeline and revenue goals by shaping and executing the GTM strategy that drives new logo acquisition and expansion within existing Databricks customers, with clear targets for sourced and influenced pipeline, ARR, and product adoption over the first 12–24 months. Execute content and field marketing activities across Agentic Apps by building and deploying scalable marketing programs that increase awareness, improve perception, and drive demand for Databricks Agentic Apps, with an emphasis on decision makers and senior executives in the line of business domain areas. Increase Lakewatch and Agentic Apps adoption and usage across priority customer segments by co-creating a compelling narrative and positioning that differentiates Databricks in its various application spaces with an emphasis on cyberse

Principal Research Scientist – Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners. Role Summary As a Principal Research Scientist – Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment with Databricks’ strategic obj

P-1605 About Databricks 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 solve 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. The Role At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer. In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team. The Impact You’ll Have Security-Focused Cloud Operations Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale. Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Data

P-1603 About Databricks 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 solve 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. The Role At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer. In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team. The Impact You’ll Have Security-Focused Cloud Operations Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale. Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Data

P-1602 About Databricks 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 solve 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. The Role At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer. In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team. The Impact You’ll Have Security-Focused Cloud Operations Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale. Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Data

P-1604 About Databricks 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 solve 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. The Role At Databricks, we don’t just build software for the cloud; we are "cloud maximalists." We run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously, creating a technical surface area that is unique in the industry. As a Software Engineer on our Public Sector team, you will be responsible for the core backend engineering that allows our Data Intelligence Platform for the Public Sector to operate at massive scale within sovereign and air-gapped cloud environments. We are looking for world-class Software Engineers to join our core Backend Engineering teams. You will design, build, and scale the distributed systems that power one of the largest data and AI infrastructures in the world. You will tackle high-scale infrastructure challenges where "zero-waste" compute efficiency and 100% system resilience are mandatory. From optimizing massive data storage layers to architecting low-latency microservices that must function in disconnected regions, you will own the end-to-end lifecycle of mission-critical code. The Impact You’ll Have Architect Scalable Systems: Design and implement highly available backend services using Scala, Java, Go, C++/C or similar . Distributed Systems Engineering: Design and implement highly scalable backend services in Java, Scala, or Go

About Prophecy Prophecy is building the next generation AI-powered data prep and analysis platform. Our platform enables business analysts and data teams to transform raw data into reliable, production-ready datasets and insights faster, using modern data infrastructure and AI-driven capabilities. We work with leading enterprises to simplify how organizations prepare, analyze, and operationalize data, while maintaining strong governance, security, and operational control. Our mission is to make it dramatically easier for organizations to turn complex data into trusted insights that drive decisions. About the Roles We are looking for a Director of Strategic Partnerships who can do both: drive revenue through Prophecy's partner ecosystem, and build an effective partner program. This is an early-stage, high-ownership motion, the playbook is still being written, and you'll have real influence over how we engage partners, what good looks like for partner-sourced pipeline, and how we build durable co-sell relationships with Snowflake, Databricks, GCP field and partner teams. You will sit at the intersection of sales, partnerships, and strategy, owning partner performance while building the programs and processes that scale it. You'll work directly with our AEs and SEs to bring partners into deals at the right moments, and you'll serve as the primary point of contact for our strategic cloud and ecosystem partners. What You’ll Own Partner Revenue & Pipeline Own and exceed partner-sourced and partner-influenced revenue targets on a quarterly basis Proactively generate pipeline through Snowflake, Databricks, and GCP field AEs and PDMs — building the relationships that produce qualified, sourced opportunities Drive joint account mapping and target account activation against Prophecy's ICP: enterprises running Alteryx on Snowflake or Databricks Activate co-sell motions through marketplace programs (GCP Marketplace, Snowflake Partner Network, Databricks

P-1366 About Databricks 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 solve 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. The Role At Databricks, we don’t just build software for the cloud; we are "cloud maximalists." We run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously, creating a technical surface area that is unique in the industry. As a Software Engineer on our Public Sector team, you will be responsible for the core backend engineering that allows our Data Intelligence Platform for the Public Sector to operate at massive scale within sovereign and air-gapped cloud environments. We are looking for world-class Software Engineers to join our core Backend Engineering teams. You will design, build, and scale the distributed systems that power one of the largest data and AI infrastructures in the world. You will tackle high-scale infrastructure challenges where "zero-waste" compute efficiency and 100% system resilience are mandatory. From optimizing massive data storage layers to architecting low-latency microservices that must function in disconnected regions, you will own the end-to-end lifecycle of mission-critical code. The Impact You’ll Have Architect Scalable Systems: Design and implement highly available backend services using Scala, Java, Go, C++/C or similar . Distributed Systems Engineering: Design and implement highly scalable backend services in Java, Scala, or Go

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. We are looking for a Business Development Director to support the growth of our Finance & Risk Solutions business by developing new enterprise relationships and strengthening existing ones in environments. Key Responsibilities Drive growth in Finance & Risk Solutions (F&RS) by acquiring new strategic enterprise customers (New Logos) and expanding existing accounts Act as a trusted advisor for large, complex enterprise clients, managing senior internal and external stakeholders at a strategic level Lead complex, multi‑stakeholder sales cycles and influence governance, decision‑making, and budget processes Design and deliver client‑specific solutions across Finance & Risk, Third Party Risk, Compliance, and Governance use cases Execute cross‑ and upselling initiatives across the full customer lifecycle to maximize account value Conduct workshops, solution demos, POCs, and value‑realization sessions to clearly articulate business impact Build and maintain robust account and quarterly business plans covering pipeline, key deals, opportunities, and risks Essential Requirements: 5–8 years of experience managing and growing large, complex enterprise customers Experience in data, SaaS, or data ‑ driven solution environm

P-1607 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 solve 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. As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you'll have: Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers Establish best practices within the team & Databricks more widely for building valuable, AI products What we look for: 1

RDQ427R371 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. About the Role We're seeking a Partner Engineer to own the technical relationship between Databricks Product/Engineering and Microsoft Azure. You will be the primary technical liaison managing our cross product roadmap, driving engineering integrations, and ensuring Databricks products work seamlessly within the Azure ecosystem. You will work directly with Azure Partner SAs, Product Managers, and engineering teams to align roadmaps, identify integration gaps, and accelerate feature delivery. This role reports to the Director of Partner Engineering and works closely with Databricks Product Management, Engineering, and Field teams. Impact you will have Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface between Databricks Product Management and Azure partner teams to ensure alignment on features, integrations, and co-innovation priorities. Track and drive resolution of cross-company dependencies and blockers, manage joint milestone timing with Azure teams, and own the coordination rhythms (recurring syncs, escalation paths) that keep both sides aligned through delivery. Drive engineering integration work between Databricks and Azure product teams coordinating cross-company technical initiatives from scoping through delivery. Create and maintain technical architecture a

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. We are now looking for a Senior Accountant – General Ledger to join our Finance team in Warsaw, Poland. In this role, you will play a key part in ensuring accurate financial reporting, strong balance sheet governance, and compliance across multiple legal entities, while partnering with stakeholders locally and globally. What You’ll Do As a Senior Accountant – General Ledger, you will be responsible for end‑to‑end accounting activities with a strong focus on general ledger ownership and financial integrity.

SLSQ427R256 Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. Compete and win against legacy and cloud-native operational databases by leveraging our compete asset

FEQ227R53 As a Senior Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. The impact you will have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications Collaborate with your fellow Solutions Architects, using your skills to support each other and our users Become an expert in, pro

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Sr. Software Engineer – Duties are designing & developing service-oriented & resource-oriented software architecture using Python in Flask framework for e-commerce systems for scalable web-centric AWS & GCP application platforms & frameworks using SOAP & REST protocols & server-side GitHub REST API including performing requirements analysis; reviewing designs for new functionality; formulating detailed functional & product specifications; collaborating with cross-functional finance & product team leads; performing requirements functional decomposition, unit & integration testing; supporting technology upgrades through cloud migrations; performing SQL & NoSQL database tuning & maintenance; and providing technical documentation & system implementation support. Position requires Bachelor’s degree in Computer Science, Computer Engineering, Information Systems or a related field & 5 yrs exp in job duties as stated. Position is with Dun & Bradstreet located in Jacksonville, FL. Inquire and send resume through Dun & Bradstreet’s job board at https://jobs.lever.co/dnb. Position is under Senior Software Engineer for Jacksonville, FL. #LI-DNI