Latest Solutions Architecture jobs at Databricks

Leads complex enterprise architecture engagements, consumption strategy, and executive customer relationships for data and AI platforms. Requires 8+ years of solutions architecture or senior technical pre-sales experience, expert Python and SQL skills, and deep enterprise data architecture expertise.

Leads technical strategy and architecture for digital-native healthtech customers, driving Databricks adoption from discovery through production. Requires 6+ years of solutions architecture or related experience, strong Python and SQL skills, distributed data systems expertise, and public-cloud deployment experience.

Leads pre-sales technical strategy and enterprise adoption of Databricks for Travel and Hospitality customers, guiding data and AI transformations. Requires substantial enterprise account, pre-sales, big data, cloud, data science, and production programming experience.

Senior forward-deployed engineer delivering secure, production-grade data and AI solutions for federal customers. The role requires 6+ years of engineering experience, strong Python and distributed-computing expertise, cloud experience, and eligibility for a U.S. Secret clearance.

Advises and technically supports multiple customers through Databricks onboarding and production deployment. Requires 2+ years in a technical data or cloud role, cloud-platform and programming knowledge, and Japanese-English communication skills.

Leads complex enterprise technical relationships in Germany, guiding customers from discovery through production, building prototypes, and mentoring Solutions Architects. Requires substantial technical pre-sales experience, strong data engineering or data science expertise, Python and SQL skills, public-cloud POCs, and fluent German and English.

Leads customer-facing architecture, demonstrations, proofs of concept, and implementation guidance for an agentic customer data platform. Requires 5+ years in CDP, MarTech, or customer data engineering, including substantial pre-sales or consulting experience.

Partners with consulting and systems integrators to enable Databricks adoption through technical training, architecture guidance, workshops, and hands-on data platform expertise. Requires 5+ years of client-facing pre-sales or post-sales experience, public cloud architecture skills, and professional Japanese proficiency.

Leads a pre-sales Solutions Architect team serving healthcare provider organizations, driving technical wins, customer value, and multi-product adoption. Requires 5+ years in data technology and technical team leadership, plus experience advising executives and building strategic accounts.

Leads customer-facing delivery of production-grade data and AI solutions on the Databricks platform, owning architecture, implementation, and stakeholder engagement. Requires 6+ years of engineering experience, strong cloud and Spark expertise, and proficiency in modern programming and ML/AI delivery.

Delivery Solutions Architect partners with customers and internal teams to design, implement, and optimize secure, scalable Databricks data and AI solutions. The role requires 5+ years of technical experience, strong coding and cloud architecture skills, customer-facing leadership, and professional Japanese proficiency.

Leads customer-facing architecture and adoption of Databricks’ Genie product line across a local territory. The role partners with account teams and executives, architects governed analytics and AI solutions, and requires 6+ years of pre-sales or consulting experience plus SQL, Python, cloud, and data platform expertise.

Provides customer-facing technical leadership for Customer Lake implementations, adoption, and complex escalations. The role requires deep CDP and MarTech expertise, experience with data and AI applications, cloud platforms, and professional Japanese proficiency.

The Solutions Architect will lead pre-sales architecture, demonstrations, and proofs of concept for Customer Lake, advising marketing and data executives on customer data, CDP, Lakehouse, and agentic AI solutions. The role requires at least five years in customer-facing pre-sales or consulting and hands-on cloud data architecture experience.

Own customer-facing technical strategy for data and AI platform adoption, designing production-grade architectures and leading complex solution discussions. The role requires 6+ years of relevant experience, cloud deployment expertise, and strong communication with technical and executive stakeholders.

Provides technical pre-sales and architecture guidance for secure, scalable Databricks deployments across major cloud platforms. The role requires strong cloud infrastructure, identity, networking, infrastructure-as-code, Python, and Spark expertise, plus the ability to engage senior customer stakeholders.

Leads complex, multi-quarter Professional Services engagements for Healthcare and Life Sciences customers, driving regional impact, strategic account growth, and senior stakeholder relationships. Requires 10+ years of Professional Services leadership and expert knowledge of Databricks architecture and ecosystem.

Leads post-sale technical strategy, delivery, adoption, and executive governance for Databricks’ most complex Data and AI customers. Requires 10+ years in technical program delivery, architecture, consulting, or customer success, plus Python, SQL, or Scala experience and professional Japanese proficiency.

Leads customer technical strategy, architecture, and Databricks adoption across data, AI, and real-time analytics solutions. Requires 6+ years of relevant experience, strong Python and SQL skills, public-cloud deployment experience, and the ability to advise senior technical stakeholders.

Leads technical strategy and architecture for customer data and AI solutions, guiding adoption from discovery through production. Requires 6+ years in solutions architecture or a senior technical role, strong Python and SQL skills, and expertise in cloud-native distributed data systems.

Leads short, high-impact customer engagements by designing production-grade Databricks solutions across data engineering, ML/AI, and real-time analytics. Requires approximately 6+ years in solutions architecture, technical pre-sales, data engineering, or a comparable senior technical role, plus Python and SQL expertise.

Leads architecture and technical delivery for high-impact, time-boxed Databricks customer engagements, moving data, AI, and analytics workloads toward production. Requires roughly 6+ years of relevant technical experience, strong Python and SQL skills, cloud expertise, and senior stakeholder communication.

Leads AI product adoption and go-to-market strategy across Asia Pacific and Japan, advising customers and executives on data and AI architectures while enabling field teams. Requires substantial data science and machine learning experience, production generative AI expertise, cloud skills, and pre-sales leadership.

Senior forward-deployed engineer delivering secure, production-grade data and AI solutions for federal government customers. The role requires 6+ years of engineering experience, cloud expertise, Apache Spark, multiple programming languages, customer-facing delivery skills, and an active Secret or Top Secret clearance.

Forward Deployed Engineer delivering customer-facing data and AI solutions on Databricks, owning architecture, implementation, and production deployment. Requires 6+ years in software or data engineering, cloud expertise, Apache Spark experience, and strong technical project delivery and stakeholder skills.

Senior forward-deployed engineer who designs and productionizes customer data, AI, and application solutions on Databricks. The role owns architecture and delivery while partnering closely with enterprise stakeholders and requires 6+ years of relevant engineering experience.

Senior solutions architect leading complex enterprise data and AI engagements, platform adoption, and executive relationships in the automotive sector. Requires 8+ years of experience, expert Python/SQL and Databricks knowledge, deep data architecture expertise, and strong technical pre-sales leadership.

Leads complex enterprise data and AI architecture engagements, platform adoption, competitive strategy, and executive customer relationships. Requires 8+ years of senior technical customer-facing experience, expert Python and SQL skills, deep data architecture expertise, and German proficiency.

Leads complex enterprise data and AI architecture engagements, drives Databricks adoption and consumption, and advises executive stakeholders. Requires 8+ years in solutions architecture or related customer-facing technical leadership, deep data-platform expertise, and advanced Python and SQL proficiency.

Leads complex enterprise architecture engagements, consumption strategy, and executive relationships for data and AI platform adoption. Requires 8+ years in solutions architecture or related technical leadership, expert Python and SQL skills, and deep enterprise data architecture expertise.

Leads complex enterprise data and AI architecture engagements, consumption strategy, executive relationships, and cross-functional delivery for major customers. Requires 8+ years of senior customer-facing technical experience, expert Python and SQL skills, deep data architecture expertise, and executive influence.

Leads complex, multi-quarter professional services engagements for Digital Native Business customers, driving regional impact, strategic account planning, and sales of tailored offerings. Requires 10+ years of professional services leadership and deep expertise in Databricks architecture and ecosystem.

Leads complex enterprise data and AI architecture engagements, driving Databricks adoption, executive relationships, and consumption strategy. Requires 8+ years of customer-facing technical leadership, expert Python and SQL skills, deep enterprise data architecture expertise, and strong executive influence.

Senior Solutions Engineer focused on leading customer discovery, designing data and AI architectures, and delivering Databricks proofs of concept and demonstrations. Requires at least four years of relevant experience, strong Python and SQL skills, public-cloud expertise, and customer-facing technical leadership.

Leads technical strategy, demonstrations, proofs of concept, and enterprise adoption of Databricks data and AI solutions. The role requires pre-sales leadership, experience with large global accounts, data technologies, production programming, and executive stakeholder engagement.

Technical product specialist and solutions architect guiding EMEA customers and field teams on production generative AI, deep learning, agentic systems, and LLM post-training. The role requires strong hands-on experience with PyTorch, distributed training, reinforcement learning, Python, SQL, Spark, cloud platforms, and customer-facing technical delivery.

Build and productionize generative AI applications for customers, advise stakeholders, and influence product direction. The role requires hands-on data science and machine learning deployment experience, strong communication skills, and a graduate quantitative degree or equivalent experience.

Leads technical strategy, value selling, and Databricks adoption for major Retail and CPG enterprise accounts. The role requires extensive enterprise experience, pre-sales expertise, big data and cloud knowledge, production programming skills, and the ability to drive data-driven transformation.

Leads customer-facing technical discovery, solution architecture, proofs of concept, and platform demonstrations across data engineering, analytics, and machine learning. Requires at least four years of relevant experience, strong Python and SQL skills, public-cloud implementation experience, and customer presentation expertise.

Build and productionize customer-facing data and AI solutions on the Databricks platform, owning architecture and end-to-end delivery. The role requires 6+ years of software or data engineering experience, cloud expertise, distributed computing knowledge, and strong enterprise customer engagement skills.

Leads post-sale technical delivery and adoption for complex Databricks customers, coordinating use cases, stakeholders, services, and escalations from technical win through production. Requires 5+ years in Data and AI program delivery, customer-facing architecture or consulting experience, programming skills, and distributed-systems knowledge.

Leads post-sale technical strategy, delivery, adoption, and executive governance for complex Databricks customers and Data and AI workloads. The role requires 7+ years of technical program or project delivery experience, programming knowledge, customer-facing architecture or consulting experience, and strong stakeholder management.

Strategic Solutions Architect partnering with sales and customer stakeholders to design big data, analytics, and machine learning architectures, implement proofs of concept, and validate integrations. Requires 5+ years in data engineering, data science, architecture, or technical consulting, plus Python, SQL, distributed systems, and public cloud experience.

Provides technical sales and solution architecture expertise to enterprise customers across Saudi Arabia, helping them adopt the Databricks Data Intelligence Platform. Requires coding experience, big data and public cloud expertise, customer-facing architecture skills, and business proficiency in Arabic and English.

Advises complex enterprise customers on adopting the Databricks Data Intelligence Platform, leading technical pre-sales engagements, architecture design, proofs of concept, and executive stakeholder alignment. Requires a data, warehousing, or ML/AI background, coding experience, and expertise across major public clouds.

The Forward Deployed Engineer embeds with strategic customers to architect and deliver production fullstack applications on the Databricks platform, spanning data engineering, AI/ML integration, and user-facing systems. The role requires broad software engineering expertise, enterprise delivery experience, and strong customer communication.

Guides strategic customers through cloud data warehousing transformations, from technical evaluations and architecture design to production deployment and migration planning. The role requires at least five years of data warehousing experience, production programming skills, cloud expertise, and customer-facing pre-sales or post-sales experience.

Leads regional strategy and technical execution for complex enterprise data warehouse migrations to the Databricks Data Intelligence Platform. The role requires 8+ years in customer-facing architecture, consulting, or presales, deep EDW modernization expertise, cloud architecture skills, and strong experience with Spark, Python, and SQL.

Leads regional technical strategy and complex customer migrations from legacy enterprise data warehouses to the Databricks Data Intelligence Platform. The role requires extensive customer-facing presales or architecture experience, expertise in Lakehouse architecture and cloud platforms, and strong executive communication and mentorship skills.

This customer-facing engineer leads architecture, development, and production deployment of Databricks-based data and AI solutions for enterprise and public-sector clients. The role requires 6+ years of engineering experience, cloud and Apache Spark expertise, and the ability to manage technical delivery across diverse stakeholders.