Databricks

This role is for a Senior Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing and building reference architectures, productionalizing use cases, and consulting on big data and AI applications. The role requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on delivering end-to-end data architectures and scalable solutions.

This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide expertise in data engineering, data science, and cloud technologies to help clients integrate systems, train models, and derive value from their data. Responsibilities include designing reference architectures, productionalizing use cases, consulting on architecture, and supporting customer operational issues. The role requires strong experience in data platforms, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on delivering end-to-end data architectures and scalable solutions.

Principal Data Scientist to serve as the statistical voice of the Data Science organization, translating complex data science findings into clear, actionable narratives for executive leadership and influencing data-driven decision-making across the company. This role requires deep statistical expertise, exceptional communication skills, and a proven track record of upleveling teams and setting analytical standards.

This role is for a strategic alliance leader to manage the Databricks partnership with Accenture in the APJ region. The goal is to drive consumption growth of the Databricks Data Intelligence Platform, maximize the impact of the Accenture Databricks Business Group, and build a joint go-to-market strategy. The role requires deep understanding of system integrators, cloud ecosystems, and data and AI transformation, engaging with C-level executives to translate strategy into executable plans and measurable business outcomes. The impact includes aligning regional priorities, driving partner-led consumption, leading joint business planning and co-selling, overseeing joint data and AI solutions, and representing Databricks at executive levels.

Databricks is seeking a Senior Solutions Architect for their Lakebase team in Berlin, Germany. This role focuses on driving adoption of a specific product line by engaging with clients, understanding their needs, and positioning Databricks' solutions. The architect will collaborate with account teams, develop strategies, deliver presentations and demos, and act as a trusted advisor. The role requires deep expertise in transactional databases, integration with Big Data/Lakehouse/AI ecosystems, and cloud environments. The architect will also influence the product roadmap and serve as a tier-3 escalation point.

This role is for a Senior Solutions Architect focused on Databricks' Lakebase product line, which integrates transactional data systems within Big Data, Lakehouse, and AI ecosystems. The architect will partner with account teams to engage clients, position the product, and drive adoption. Key responsibilities include designing engagement strategies, acting as a trusted advisor, enabling clients through workshops, influencing product roadmaps, and serving as a tier-3 escalation point. The role requires deep expertise in transactional databases, experience architecting solutions within AI/ML ecosystems, and proficiency in SQL and Python.

This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, productionalizing use cases, and guiding customers in implementing big data and AI applications. The role involves end-to-end design, build, and deployment, with a focus on customer adoption and support.

Delivery Solutions Architect at Databricks, focusing on accelerating customer adoption and success with the Databricks Data Intelligence Platform. This hybrid technical and commercial role involves leading post-sale technical strategy, resolving production issues, coordinating with internal teams, and driving customer value and ROI.

Lead Solutions Architect for Databricks' Public Sector in Japan, focusing on defining and executing data and AI strategies for government clients. The role involves owning technical strategy, leading solution design for various use cases, ensuring security and compliance, and influencing the ecosystem to drive adoption and mission outcomes. Requires deep public sector experience in Japan, strong technical background in data/AI/cloud architecture, and excellent communication skills in Japanese and English.

Pre-sales Solutions Architect role at Databricks, focusing on data, AI, and big data solutions on public clouds. The role involves guiding technical evaluation phases, acting as a technical advisor to the sales team, and collaborating with product teams to help customers achieve data-driven outcomes using the Databricks Data Intelligence Platform. Responsibilities include creating reference architectures, migration plans, and demo applications, integrating Databricks with third-party applications, leading workshops, and engaging with the technical community. Requires experience in pre-sales or post-sales with external clients, public cloud architecture design, and basic technical understanding of data, ML/AI, and SQL.

Pre-sales Solutions Architect for Financial Services at Databricks, focusing on guiding technical evaluations, advising sales teams, and integrating the Databricks Lakehouse Platform into enterprise ecosystems. The role involves hands-on work with Big Data, Analytics, AI, Data Engineering, and Data Science problems, supporting customer adoption and authoring reference architectures.

Pre-sales Solutions Architect for Databricks Lakehouse Platform, focusing on Retail/CPG sector. Guides technical evaluation, acts as a technical advisor, and integrates Databricks with 3rd-party applications. Requires experience in Big Data, AI, Data Science, Data Engineering, and public cloud architectures.

Pre-sales Solutions Architect for Databricks' Lakehouse Platform, focusing on Analytics, AI, Big Data, and Public Cloud within the Digital Native sector. The role involves guiding technical evaluations, acting as a technical advisor to sales, advocating for customers to product teams, and helping clients achieve data-driven outcomes by integrating Databricks into their enterprise ecosystems. Responsibilities include architectural expertise, leading prospect evaluations, authoring reference architectures, integrating third-party applications, and engaging with the technical community through workshops and seminars. Requires pre-sales or post-sales experience, understanding of customer-facing roles with strengths in Data Engineering or Data Science, experience with public cloud architectures, Big Data technologies (including Spark, AI, Data Engineering), and fluent coding in Python or Scala. Fluency in Japanese and English is also required.

Pre-sales Solutions Architect for Databricks in the Kansai region, focusing on driving technical evaluations and solution designs for customers using the Databricks Lakehouse Platform. The role involves guiding customers on their data and AI strategy, integrating Databricks with third-party applications, and acting as a technical advisor.

This role is a hybrid technical and commercial position focused on customer success and accelerating the adoption of Databricks platform workloads. The Delivery Solutions Architect will act as the post-sale technical lead, collaborating with sales and field engineering teams to guide customers, build executive relationships, and drive the successful implementation and consumption of Databricks solutions. The role requires strong technical project delivery experience in Data and AI, customer-facing experience, and program management skills.

Sales role focused on driving adoption of Databricks AI/BI and Genie, which are AI-powered analytics solutions for enterprise customers. The role involves partnering with Account Executives to identify and close opportunities, engage with C-level stakeholders, and displace legacy BI platforms with modern, AI-driven solutions.

Manager for Professional Services in NSW, Australia, leading a team of Resident Solutions Architects and AI Engineers. The role focuses on helping enterprise clients migrate to the Databricks lakehouse, build AI and GenAI systems, and unlock business value from data. Responsibilities include driving regional performance, leading enterprise engagements, championing delivery governance, acting as an escalation point, and developing talent.

This role is a Delivery Solutions Architect at Databricks, focused on empowering customers to solve data problems using the Databricks Data Intelligence Platform. The architect acts as a trusted technical advisor, guiding customers in designing, implementing, and scaling data and AI solutions. It's a hybrid technical and commercial role involving architecture reviews, performance optimization, customer enablement, and driving customer growth. While not hands-on coding, strong architectural skills in Data Architecture, Data Engineering, Data Warehousing, or Data Science are essential, with at least 5 years of experience in delivering Data, Analytics, or AI projects.

This role is a Sr. Solutions Engineer focused on pre-sales for Databricks' Manufacturing Vertical. The primary responsibility is to define and direct the technical strategy for large enterprise accounts, leading to increased adoption of ML & AI products. While not directly building models, the role requires a strong technical understanding of big data, data science, and cloud, with a focus on value selling and driving business outcomes through Databricks solutions.

This role focuses on building and scaling an AI-enabled learning operations engine for the APJ region, aiming to transform regional execution into data-driven, revenue-aligned outcomes. The manager will design systems, manage operational cadence, forecast, capacity planning, and executive reporting, while embedding automation and AI-first workflows to reduce friction and improve predictability. The role requires strong analytical skills, commercial fluency, and experience in operations within high-growth tech companies.

Senior leader responsible for architecting the AI-enabled operating system for a global training operations team, focusing on automation, analytics, governance, and commercial rigor to transform regional execution into predictable, revenue-aligned outcomes. This role establishes and leads a Global Center of Excellence (CoE) to embed AI and automation into learning and enablement operations.

This role is for a Data Platform Solutions Architect within Databricks' Professional Services team, focusing on helping Emerging Enterprise & Digital Native clients in EMEA leverage the Databricks platform for their big data and AI initiatives. The role involves designing and implementing data architectures, providing data engineering and data science project support, and enabling customers' end-to-end big data journeys. It requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and technical project delivery, with a focus on customer-facing engagements and driving value from data.

Solutions Architect for Databricks' Digital Natives team, focusing on data engineering, data science, and ML. The role involves collaborating with strategic customers and internal teams to design and implement solutions using the Databricks platform, guiding customers through competitive landscapes and best practices, and driving technical discovery to accelerate time-to-value. The role emphasizes building distributed data systems, programming in Python and SQL, and expertise with public cloud providers.

This role is for a Specialist Solutions Architect at Databricks, focusing on guiding customers in building big data and AI solutions on the Databricks Lakehouse Platform. The role involves architectural design, data engineering, and model deployment, with a strong emphasis on production-level workloads, performance tuning, and optimization. Experience with Apache Spark, MLflow, and cloud platforms is crucial, as is the ability to provide technical leadership in customer-facing engagements.

This role is for a Sr. Specialist Solutions Architect focused on defining the technical go-to-market strategy and driving adoption of Databricks' AI/BI product suite in the APAC and Japan region. The individual will act as a trusted advisor to customers and internal field engineering teams, support product managers in defining product direction, and serve as a thought leader through external engagement. The role requires expertise in cloud-based data visualization and analytics solutions, building production-level data applications, and strong pre-sales experience.

This role focuses on customer enablement for Databricks' AI/BI and agent-based development innovations. The Customer Enablement Specialist will guide existing users through structured training plans to drive product adoption, customer success, and measurable business impact. Responsibilities include managing an enablement pipeline, delivering introductory sessions, building enablement plans, and reporting on key metrics.

This role focuses on customer enablement for Databricks' AI/BI, Databricks Apps, and agent-based development innovations. The Customer Enablement Specialist will guide existing users through structured training plans to drive product adoption and customer success, managing a high-volume enablement pipeline and reporting on key metrics.

Databricks is seeking a Data and AI Solution Architect for their Professional Services team in Bavaria, Germany. This role involves working with clients on big data challenges using the Databricks platform, providing data engineering, data science, and cloud technology project support. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for AI applications. The role requires extensive experience in data engineering, data platforms, analytics, coding in Python or Scala, cloud ecosystems, Apache Spark, and MLOps.

Developer Advocate role focused on the Neon Serverless Postgres platform, engaging with application and agent developers. The role involves maintaining SDKs, creating technical content, community engagement, and gathering feedback to influence product direction, with a focus on staying ahead of the AI curve and supporting AI-driven development.

Product Designer focused on AI/BI experiences at Databricks, aiming to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable. The role involves designing how humans and AI collaborate, shaping user interactions for data exploration, insight generation, and decision-making within enterprise software. Requires 5+ years of experience, a strong portfolio, and the ability to lead complex design projects.

Product Designer focused on AI/BI experiences, responsible for designing how humans and AI think together, making advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users. The role involves reimagining data exploration with natural language and AI assistance, designing transparent and trustworthy AI-generated insights, and creating experiences that move from exploration to validation to action.

This role is a Sr. Solutions Architect for Databricks' Lakebase product line, focusing on integrating transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. The role involves pre-sales, client engagement, technical expertise, and influencing product roadmaps. While the role operates within an AI company and interacts with AI ecosystems, its core function is not building or researching AI models, but rather architecting solutions that leverage existing data and AI platforms.

Solutions Architect role focused on guiding technical evaluations and adoption of the Databricks Lakehouse Platform for customers, integrating it into their enterprise ecosystems. The role involves hands-on work with Apache Spark, public cloud technologies, and supporting data teams in big data, analytics, data engineering, and data science projects.

Lead Solutions Architect for Databricks' Digital Natives Business in London, UK. This role focuses on executive evangelism, thought leadership, and driving new logo acquisition by building relationships with technical founders and CTOs at high-growth startups. The architect will articulate a vision for Data + AI, bridge business requirements with technical solutions, and mentor other Solutions Architects. Requires strong technical depth in data engineering or AI, coupled with a primary skillset in technical evangelism and high-level architectural vision.

Staff Data & AI Technical Solutions Engineer role at Databricks, focusing on driving and mentoring others in producing Data & AI technical solutions for customer issues. Requires deep expertise in Data & AI architectures, production environments, and troubleshooting complex customer situations, including deep dives into code and systems architecture related to Databricks products like Spark, Delta, DLT, and Model Serving. The role involves serving as a customer support advisor, influencing engineering for product improvements, and acting as a technical expert and leader within the support organization.

This role is for a Sr. Solutions Architect at Databricks, focusing on pre-sales for large enterprise accounts. The primary goal is to drive the adoption of Databricks' ML & AI products by defining technical strategies, building proof-of-concepts, and acting as a technical partner to customers. While the role involves demonstrating and explaining ML & AI applications, the core function is sales enablement and technical strategy within the enterprise AI domain, rather than direct AI model development or research.

This role is for a Senior Manager, Finance PMO & Operations with a focus on FP&A at Databricks. The individual will drive organization, transformation, innovation, and operational efficiency across global Finance teams. Key responsibilities include project and program management, OKR setting, process optimization, transformation roadmaps, and organizational management. The role will also involve leveraging AI and emerging technologies to improve Finance workflows and enable smarter decision-making, predictive insights, and scalable automation. Experience with AI/automation tools in Finance is required.

Product Marketing Manager for Databricks Lakebase, focusing on data-native applications that combine transactional data, analytics, and AI. The role involves owning messaging, content, and go-to-market strategies for application developers and database owners, working closely with product, engineering, and field teams.

Databricks is seeking an Analyst Relations Manager to enhance its market position in data management, AI, security, and BI. This role involves managing relationships with analyst firms, orchestrating participation in evaluations, and translating market insights into actionable recommendations for product, marketing, and sales teams. The goal is to strengthen Databricks' leadership narrative and business impact through strategic analyst engagement.

Director of Data & AI Support Engineering in Bangalore, leading a team focused on the resiliency and smooth operation of customer production workloads, resolving complex data engineering use cases, and optimizing performance for Databricks customers.

Solutions Architect at Databricks, focusing on customer relationships, technical sales, and demonstrating the Databricks Data Intelligence Platform. Responsibilities include architecting solutions, authoring reference materials, and community building. Requires strong big data analytics, coding (Python, Java, Scala), Spark knowledge, and public cloud expertise. Native Korean and English proficiency are needed.

This role is for a Data Platform Solutions Architect within Databricks' Professional Services team. The architect will work with clients on short to medium-term engagements, focusing on big data challenges using the Databricks platform. Responsibilities include designing and building reference architectures, creating how-to guides, productionalizing customer use cases, and consulting on architecture and design for big data and AI applications. The role requires strong data engineering, data science, and cloud technology skills, with experience in Python or Scala, cloud ecosystems (AWS, Azure, GCP), Apache Spark, and MLOps.

Technical Product Manager to shape Databricks' OLTP Databases or Data Governance capabilities, focusing on performance, reliability, scalability, and compliance, including enabling governed access for AI agents.

Field CTO for Americas Industries at Databricks, focusing on driving data and AI strategy and business transformation for strategic accounts in regulated industries. This role involves building C-level relationships, shaping executive thinking on modern data and AI architectures (especially Lakehouse and Gen AI impact), leading technical discussions, and generalizing field patterns into reusable assets. The role also involves orchestrating the ecosystem, partnering with sales teams, providing customer feedback to product/engineering, and mentoring field talent.

Databricks is seeking a Go-to-Market Leader for EMEA Retail & Consumer Goods to architect and execute a strategy from the ground up. This role involves building relationships with clients and partners, identifying high-value use cases, and establishing Databricks as a thought leader in the industry. The ideal candidate has senior leadership experience in Retail or Consumer Goods, entrepreneurial drive, and a strong understanding of the data and AI landscape.

This role leads Databricks' social impact initiative, 'Databricks for Good,' focusing on designing and scaling programs that apply data and AI to global challenges. The Program Manager will be responsible for setting the vision, executing partnerships, creating content, and representing the initiative publicly, working closely with internal teams and external non-profits, universities, and public-interest organizations.

This role leads Databricks' social impact initiative, "Databricks for Good," focusing on designing and scaling programs that apply data and AI to real-world challenges for nonprofits, universities, and public-interest organizations. Responsibilities include program design and management, storytelling, public-facing representation, partnership funnel ownership, content creation, cross-functional collaboration, and acting as an internal advisor on social impact use cases. The goal is to establish Databricks for Good as a credible and scalable social impact initiative, enabling organizations to leverage data and AI for societal benefit.

This role is for a Sr. Technical Product Manager at Databricks, focusing on either OLTP Databases or Data Governance. The candidate will work with engineering and field teams to define product roadmaps, identify improvements, and ensure features deliver outstanding user experiences. For the governance focus, a key responsibility is enabling secure and compliant access for AI agents to the Databricks Data Intelligence Platform. The role requires a strong technical background, empathy for customers, domain expertise, Python/SQL skills, and experience with systems design and architecture. Experience with AI-assisted development tools is mentioned.