Solutions Architect, Retail at Databricks | Remote - Ohio

We are seeking a seasoned Solutions Architect with a strong pre-sales background to join our team at Databricks, focusing on the Retail and Consumer Packaged Goods (CPG) sectors. This role involves collaborating closely with Account Executives to define and implement technical strategies for our most significant clients, helping them leverage data-driven solutions to enhance their operations through Machine Learning (ML) and Artificial Intelligence (AI).Your expertise in value-based selling, technical account management, and leadership will be vital in driving the successful adoption of our products. You will guide a select number of clients on their transformational journey, ensuring they fully integrate Databricks into their strategies while fostering a community of technical champions within their organizations.

P-256 Join our dynamic team at Databricks as a Solutions Architect specializing in the retail and consumer packaged goods (CPG) sector. We seek seasoned pre-sales professionals with a proven history of empowering large enterprises to adopt data-driven strategies. In collaboration with the Account Executive (AE), you will define and drive the technical strategy for our most critical accounts, fostering deeper engagement with our products and expanding the adoption of machine learning (ML) and artificial intelligence (AI) solutions. Your role will leverage your expertise in value selling, technical account management, and technical leadership to enhance success in these accounts. While collaborating with a team of hands-on resources to build proofs of concept and showcase Databricks' offerings, you will need to possess a solid technical foundation and an understanding of the relevance and application of ML & AI across various use cases crucial to our retail and CPG clients. Your Impact: Serve as the primary technical advocate for Databricks with 1-5 clients. Lead customers through a transformational journey, assisting them in evaluating and integrating Databricks into their strategy. Execute the technical strategy within the account while closely aligning with the overarching business goals. Foster a community of technical champions within the account. Align technical strategies with Databricks solutions to drive mutual success. Provide structured mentorship and guidance to fellow team members.

Location: San Francisco Bay Area, California REQ ID FEQ127R103 Mission Join our team as a Solutions Architect, where you will play a pivotal role in empowering large enterprises to harness the full potential of their data. Collaborating closely with the Enterprise Account Executive (AE), you will define and implement the technical strategy for our most significant accounts, driving deeper and wider adoption of machine learning (ML) and artificial intelligence (AI) solutions. Your expertise in value-based selling, technical account management, and leadership will be key in maximizing client success. You will work alongside a dedicated team that builds proofs of concept and showcases Databricks' innovative products. A strong technical understanding of ML and AI applications across various use cases relevant to the High Tech and Manufacturing sectors is essential. Outcomes Act as the primary technical voice for Databricks across multiple clients. Guide customers through a transformational journey, facilitating their evaluation and adoption of Databricks solutions. Implement tailored technical strategies within accounts based on a deep understanding of their needs. Foster a network of technical champions within client organizations. Align technical strategies with Databricks solutions effectively. Provide structured mentorship to enhance the skills of team members. Earn respect from peers through your experience, insights, and contributions. Competencies: Expertise in establishing and leading virtual teams to achieve success within client accounts. Experience managing large global accounts with an annual recurring revenue (ARR) exceeding $1 million. Ability to build relationships with executives and key influencers. Skill in presenting persuasive viewpoints to decision-makers, steering them toward successful outcomes. Strong technical background in big data, data science, and cloud technologies. Proven ability to drive data-driven business transformation. Programming experience in Python, R, Scala, or Java. Preferred: Databricks Certification.

Join Databricks as a Resident Solutions Architect, where you will play a pivotal role in driving customer success and implementing innovative solutions. As a key member of our team, you will collaborate with clients to understand their business needs and architect solutions that leverage our cutting-edge data and AI platform. Your expertise will empower organizations to unlock the value of their data through strategic guidance and hands-on support.

FEQ127R13 We invite exceptionally qualified candidates from various locations on the East Coast to apply for this exciting opportunity. Mission As a Senior Solutions Architect at Databricks, you will play a pivotal role in advancing the Databricks Data Intelligence Platform. Our team is well-versed in cloud technologies, data engineering, analytics, data science, machine learning, and AI. You will leverage open source projects like Apache Spark™, Delta Lake, and MLflow to enhance your expertise and contribute to the success of our customers. This is a customer-facing position where you will collaborate with clients, team members, product teams, post-sales support, and partners to identify use cases, develop architecture and solutions, and guide customers through successful implementations, leading to impactful business outcomes. Building strong relationships with customers, nurturing champions, and establishing yourself as a trusted advisor will be key aspects of your role. You will report to a Field Engineering Manager within our Financial Services team. Your Impact: Collaborate with the sales team to demonstrate how Databricks can address customer challenges. Provide technical leadership to clients in evaluating and adopting Databricks. Consult on big data architecture, execute proof of concepts for strategic projects, and validate integrations with cloud services and third-party applications. Create and present reference architectures, how-tos, and application demonstrations for clients. Promote open source projects (Apache Spark™, Delta Lake, MLflow, Unity Catalog) within developer communities through meetups, conferences, and webinars. Travel to meet customers in your designated territory. What We Are Looking For: 10+ years in a customer-facing pre-sales or consulting role, ideally with big data technologies addressing data engineering and analytics challenges. Proven experience in designing and architecting distributed data systems. Proficient in programming and debugging in at least one of the following: Python, SQL, Scala, Java, or R. Experience with global system integrators, consulting firms, or technology providers in the financial services sector is a plus. Hands-on experience building solutions with major public cloud providers like AWS, Azure, or GCP. Familiarity with Data Engineering technologies such as Spark, Hadoop, or Kafka.

Databricks is seeking a talented and experienced Solutions Architect specializing in Retail and Consumer Packaged Goods (CPG) to join our dynamic team. This role is pivotal in empowering large enterprises to harness data effectively and drive innovation through machine learning (ML) and artificial intelligence (AI).As a Solutions Architect, you will collaborate closely with the Account Executive (AE) to define and implement the technical strategy for our most significant accounts. Your expertise in value selling, technical account management, and leadership will be instrumental in advocating for the adoption of Databricks' cutting-edge products. You will guide clients through their transformational journey, ensuring they successfully evaluate and integrate our solutions into their operational framework.Your Key Responsibilities:Serve as the primary technical liaison for 1-5 major clients, championing Databricks’ solutions.Lead customers in their journey towards data-driven transformation, supporting their strategic decisions.Develop and execute the technical strategy aligned with customer needs and Databricks offerings.Foster a network of technical champions within client accounts to promote Databricks solutions.Mentor and provide guidance to team members, enhancing their technical skills and product knowledge.

As a Solutions Architect on the Digital Natives team, you will play a pivotal role in shaping the future of the big data landscape. Collaborating with some of the most sophisticated data engineering and data science teams globally, you will leverage your expertise to deliver innovative solutions.In this position, reporting to the Field Engineering Manager, you will work closely with customers, product teams, and various customer-facing personnel to architect solutions utilizing our platform and APIs. Your role will involve guiding customers through the competitive landscape, implementing best practices, and cultivating technical champions within their organizations.The impact you will have:Partner with the sales team to provide technical leadership, helping customers understand how Databricks can resolve their business challenges.Consult on Big Data architectures, implement proof of concepts for strategic projects across data engineering, data science, and machine learning, along with SQL analysis workflows. Validate integrations with cloud services, proprietary tools, and third-party applications.Collaborate with fellow Solutions Architects, sharing skills and insights to enhance our customer offerings.

P-345 At Databricks, we are at the forefront of addressing some of the most challenging data issues faced by our clients. Our Solutions Architect team plays a crucial role in leveraging the technologies that underpin our platform, alongside the broader cloud and technology ecosystems, to devise effective solutions. As a Solutions Architect at Databricks, you will spearhead the implementation of the Databricks Unified Analytics Platform. This position offers an opportunity to deepen your expertise in open-source projects such as Apache Spark™, MLflow, and Delta Lake while promoting the Lakehouse paradigm across leading public cloud providers. You will develop a robust understanding of cloud platforms, data engineering, analytics, data science, and machine learning. In this client-facing role, you will identify and articulate use cases for Databricks, architect solutions using our platform, and guide customers through successful implementations that drive strategic business value. Building strong relationships with our clients, you will position yourself as a trusted advisor. At Databricks, we foster a culture of collaboration and teamwork. You will also contribute your knowledge by engaging with our subject matter expert groups. In this capacity, you will report directly to the Solutions Architect Leader for your specific business segment. If you are a passionate technologist with an interest in Data and AI, and have a knack for prototyping solutions for customers, we would love to hear from you.

Join Databricks as a Senior Solutions Architect within our Field Engineering organization, where you will collaborate with customers to craft scalable data architectures utilizing Databricks technologies and services. Your technical expertise and business acumen will empower you to facilitate complex technology discussions that highlight the benefits of the Databricks platform throughout the sales process. Working alongside our Account Executives, you will engage with technical leaders, including architects, engineers, and operations teams, positioning yourself as a trusted advisor to drive meaningful outcomes. You will also liaise with teams across Databricks and our executive leadership to advocate for customer needs, nurture valuable engagements, and report back to the Field Engineering Manager.The impact you will have:Collaborate with Sales and key partners to formulate account strategies aimed at increasing platform adoption among your assigned accounts.Establish the Databricks Lakehouse architecture as the go-to data architecture for clients through exemplary technical account planning.Create and present reference architectures and demo applications to potential clients, demonstrating how Databricks can help them achieve their objectives, thereby attracting new users and use cases.Secure technical wins by advising on big data architectures, data engineering pipelines, and data science/machine learning initiatives; validate the Databricks technology for critical customer projects and ensure seamless integration with cloud services and other third-party applications.Become a specialist and advocate for Databricks-inspired open-source projects (such as Spark, Delta Lake, MLflow, and Koalas) in developer communities via meetups, conferences, and webinars.

The ideal candidate for this role will be a seasoned pre-sales professional with a proven history of transforming large enterprises into data-centric organizations. Collaborating closely with the Account Executive (AE), you will spearhead the technical strategy for our most significant clients in the Retail and Consumer Packaged Goods (CPG) sectors, driving broader utilization of our innovative solutions and enhancing the adoption of Machine Learning (ML) and Artificial Intelligence (AI). Your extensive expertise in value selling, technical account management, and leadership will be essential in maximizing the success of these partnerships. You will guide a talented team of technical resources in creating proofs of concept and showcasing Databricks' cutting-edge products. A deep understanding of ML and AI applications across various use cases pertinent to our target accounts in the Retail and CPG industry is crucial.

Ready to make a significant impact?At West Monroe, we are on the lookout for a Senior Architect to join our dynamic Technology and Experience Practice. This role presents a fantastic opportunity to collaborate with clients in crafting innovative Big Data strategies and roadmaps, particularly focusing on Databricks. You will gain exposure to a diverse range of industries, including Healthcare, Financial Services, Insurance, and Utilities.Key Responsibilities:Advise clients on platform selection for Databricks, ensuring optimal solutions.Design efficient data flow and processing pipelines utilizing modern technologies like Spark on Scala, Storm, Flume, and Sqoop.Create tailored data structures for ingestion and reporting based on specific use cases and technologies.Offer expertise in data management by evaluating requirements and developing robust data architecture, including platform selection and design.Provide mentorship to consultants, sharing best practices and conducting code reviews.Coordinate with data source application owners to ensure seamless integration with analytics platforms.Address data integrity issues proactively.Participate in necessary meetings to facilitate business and technical development.

P-1398 Note: This is a hybrid role requiring approximately 3 days in the office in Plano, TX. Mission: As a Staff Data & AI Technical Solutions Engineer, you will take the lead in developing and guiding others in crafting innovative Data & AI technical solutions for various customer issues. This includes an in-depth exploration of production data pipelines, AI workflows, streaming data ingestion, and more. You possess extensive expertise in Data & AI architectures, having encountered a diverse array of use cases while successfully managing intricate production environments in compliance with Service Level Agreements (SLAs). You will work collaboratively with product engineering and customer account teams to deliver exceptional results for customers, especially in critical production downtime scenarios. Your role is to empower customers with the knowledge and skills necessary to create efficient architectures and dependable services, leveraging Databricks’ platform to achieve their strategic goals. Reporting to a Technical Support Engineering manager, you are recognized as a technical authority within a leading global support engineering organization, celebrated for your leadership, technical knowledge, and ability to resolve even the most challenging customer situations. The impact you will have: Lead and direct technical solutions for a wide range of complex challenges reported by Databricks customers, including escalated and critical cases. Conduct comprehensive code-level analysis and systems architecture assessments of customer workloads to resolve issues related to Databricks products, including Spark core internals, Spark SQL, Delta, DLT, and Model Serving. Act as a customer support advisor, adept at diffusing escalations during incidents directly with customer stakeholders, swiftly identifying mitigations and solutions for advanced use cases, and strategically helping to avert future customer issues. Contribute to simplifying Databricks products and enhancing customer production environments' stability by influencing Engineering and Backline Support teams to identify areas for product improvements. Establish yourself as a deep technical expert and leader in the Databricks platform and production systems, mentoring others to share your expertise. What we look for: A minimum of 8 years of experience in designing, building, testing, and maintaining data pipelines, with relevant past experience in Spark being mandatory. Proficiency in SQL databases or data warehouses, among other technical skills.

Role Overview The Business Intelligence Manager at Databricks shapes how business users interact with data and AI on the Databricks platform. This role focuses on building secure, interactive applications that help teams turn raw data into practical insights. The position is based in New York or San Francisco. What You Will Do Build: Design and develop frontend interfaces and API backends. This includes setting up FastAPI to route user queries to model-serving endpoints, and delivering solutions from data dashboards to enterprise chat tools using the Mosaic AI Agent Framework. Architect: Create secure, scalable application architectures that support custom SaaS offerings and meet go-to-market needs. Scale: Develop applications that connect to Databricks SQL through the Statement Execution API or Databricks SDK. Set up CI/CD pipelines with Declarative Automation Bundles (DABs) to automate deployments across development, staging, and production. Key Technologies Streamlit React FastAPI Databricks Apps serverless infrastructure Locations New York San Francisco, California

The Applied AI team at Databricks is dedicated to pioneering advancements in GenAI-driven products. In recent years, we have successfully launched notable innovations such as the Databricks Assistant, AI/BI Genie, and Agent Bricks. These products are utilized by hundreds of thousands of Databricks users daily. We are addressing complex challenges such as code suggestions, error detection and correction, text-to-SQL generation, automatic pipeline creation, and knowledge QA. As our GenAI products continue to advance, we are on the lookout for multiple GenAI Engineers, ranging from junior to senior levels, to spearhead the next phase of development. In 2025, our focus will be on enhancing the quality of LLMs, broadening GenAI functionalities across Databricks products, and fortifying our platform architecture to facilitate seamless AI interactions at scale.

At Databricks, we are committed to empowering organizations to unlock the full potential of data and artificial intelligence. Our goal is to create the premier platform for the development, deployment, and management of AI applications at scale, enabling our customers to leverage intelligent solutions to revolutionize their businesses.About Our Team:The Databricks AI team is pioneering how businesses utilize artificial intelligence. Our mission involves creating foundational capabilities that allow customers to build agents and models, manage intricate workflows, and integrate AI seamlessly into their data and applications. As the AI landscape evolves rapidly, our approach requires innovative thinking and the adaptability to navigate these changes. We are not merely creating features; we are fundamentally reshaping how the world interacts with AI.Your Impact:Shape the future of enterprise AI: Define and advance the vision of how Databricks empowers customers to harness generative AI, agents, and groundbreaking workloads.Transform breakthroughs into products: Collaborate with top-tier engineering and research teams to convert state-of-the-art AI innovations into reliable tools for millions.Expand possibilities for customers: Work closely with data and AI leaders to identify novel use cases and design products that make the previously unfeasible achievable and replicable.Be the voice of vision and execution: Inspire the roadmap from concept to launch, steering engineering efforts and articulating how Databricks AI transforms customer capabilities.Build for scale and longevity: Establish the strategies and principles that will guide Databricks AI for years to come, even as the industry undergoes rapid changes.

Databricks seeks a Commercial Account Executive to work with organizations that use data to create impact in their industries. This position fits sales professionals who bring both creativity and initiative, along with a strong background in handling transactional and strategic sales cycles. The main focus is to help customers understand Databricks products and support them as they make key decisions. Key responsibilities Find and develop new business opportunities within an assigned territory Secure new accounts while maintaining and growing relationships with current customers Guide clients through the sales process and help them see the broader value Databricks can provide Work to meet and exceed sales quotas, with accelerators available for performance above 100% of target Report directly to a regional sales manager Locations Austin, Texas Boston, Massachusetts Chicago, Illinois Denver, Colorado New York City, New York San Francisco, California Seattle, Washington Washington, D.C.

As an Emerging Enterprise Account Executive at Databricks, you will master the SaaS sales process and drive innovation by expanding customer visions and accelerating decision-making cycles. Your passion for understanding our product in depth will empower you to effectively communicate its value to customers and partners alike. Proactively seeking new opportunities, you will take the lead in closing new accounts. In addition to the excitement of closing deals, we offer attractive accelerators for exceeding 100% of your quota. You will report directly to a regional sales manager.Your Impact:Strategize and engage all buying centers within your accounts.Utilize a solutions-oriented sales approach to deliver value to customers.Identify key use cases in each account to maximize Databricks' impact.Collaborate with teams to enhance the ecosystem's effectiveness.Build value in all interactions to facilitate successful negotiations.Champion the Databricks enterprise cloud data platform powered by Apache Spark.Focus on customer success by achieving technical and business results with the Databricks Platform.Foster a collaborative team environment, because teamwork makes the dream work!

Join Databricks as an exceptional Finance Manager on our FP&A team, dedicated to empowering data teams to tackle the world’s most challenging problems. This role offers the chance to strategically analyze growth drivers and collaborate with our Go-To-Market (GTM) team to make a significant impact.As a finance expert with experience in hyper-growth environments, you will independently address complex problems, leverage your extensive financial analysis skills, and confidently communicate insights to senior leadership. You will approach new challenges with first principles thinking to devise effective solutions.Your contributions will include:Utilizing analytical skills to solve problems through comprehensive data gathering and summarization to facilitate efficient executive decision-making, leading the recommendation process from start to finish.Fostering strong, trusted relationships with teams across Sales, Finance, Commercialization, Data Science, Accounting, IT, Business Operations, and their technical counterparts.Developing innovative solutions for data-related challenges, presenting insights through clear narratives and engaging presentations.Creating and maintaining financial and operational models to provide real-time forecasts for essential financial metrics.Collaborating with the GTM team to propose and implement strategies that enhance key financial indicators.Driving process improvements, standardization, simplification, implementing necessary controls, and enhancing reporting capabilities.

Join Cloudflare as a Senior Solutions Architect, where you will lead the design and implementation of innovative solutions for our clients. Your expertise will help organizations harness the power of our cutting-edge technology to enhance their digital presence and security.