This role delivers application modernization initiatives for enterprise customers, building and evaluating migration tooling and generative AI solutions while influencing MongoDB’s product roadmap. Candidates need 4+ years of enterprise-facing engineering or consulting experience, strong Java or C# skills, and experience with relational databases and software architecture.

Supports enterprise customers through AI- and data-driven process transformation, combining technical execution, value realization, consulting, and program management. The role requires 2+ years of relevant experience, enterprise software fluency, process improvement knowledge, and English and Italian communication skills.

Leads partner-driven client implementations, integrations, and delivery assurance for financial services customers. The role requires 7+ years in financial services or consulting, strong partner-facing communication, technical proficiency including Python, and experience implementing Addepar clients.

This role delivers AI search and growth solutions directly to enterprise customers, configuring playbooks, analyzing performance, and translating feedback into product improvements. It requires 4–7 years of relevant experience, strong analytical and project management skills, and hands-on familiarity with AI tools or automation.

Leads strategic customer engagements as a top field expert in application and cloud-native security, guiding demonstrations, proofs of concept, deployment, troubleshooting, and technical messaging. Requires strong public-cloud architecture, coding, DevOps, and executive presentation skills.

Specialist Solutions Architect who guides customers in designing and productionizing ML and AI workloads, including generative AI, agentic systems, and MLOps. Requires 5+ years of hands-on ML experience, advanced quantitative education or equivalent experience, and strong technical communication skills.

Provides technical leadership and customer-facing consulting for Databricks data and AI solutions, including architecture design, proofs of concept, integrations, and cloud implementations. Requires 15+ years of relevant experience and deep expertise in big data technologies.

Leads customer-facing value discovery and solutioning for strategic accounts, building Celonis use cases, demos, business cases, and proof-of-value projects. The role requires 9+ years of analytical, process-improvement, software-deployment, and executive stakeholder experience, with SaaS, process mining, SQL, or Python expertise preferred.

Build and lead Solutions Engineering for enterprise property-management partnerships, combining pre-sales discovery and demos with hands-on API and SFTP implementation. The role requires 5+ years of solutions or sales engineering experience, strong technical and commercial communication, and willingness to travel extensively around Dallas.

Deploy ElevenLabs’ AI agent platform for strategic enterprise customers by identifying high-impact workflows, guiding implementation, and driving measurable outcomes. The role combines customer discovery, commercial deal ownership, technical prototyping, executive communication, and cross-functional product feedback.

Leads a global team of Partner Solution Architects and manages strategic relationships with cloud hyperscalers. The role requires partner ecosystem expertise, strong business and technical communication, and substantial leadership experience.

Leads customer implementations and adoption of secure open-source software solutions, partnering with account, product, and engineering teams. Requires 8+ years developing multi-tier applications, strong Kubernetes and container experience, and 4+ years in post-sales client support.

Leads customer-facing architecture and technical pre-sales for Databricks security and cloud infrastructure solutions. The role requires at least four years of cloud infrastructure and security experience, hands-on automation expertise, and experience designing security data platforms.

The Solutions Architect partners with startup-focused sales teams in France to lead technical discovery, design cloud-native data and AI architectures, run evaluations, and drive customer adoption. The role requires at least five years of customer-facing architecture or pre-sales experience, programming skills, and fluency in French and English.

The Solutions Architect will guide Portuguese customers through technical discovery, architecture, proofs of concept, and adoption of Databricks’ data platform. The role requires coding experience, big data and public cloud expertise, Portuguese and English fluency, and hybrid availability in the Madrid region.

Leads customer-facing architecture, implementation, and production delivery of end-to-end data and AI solutions on the Databricks platform. Requires 6+ years of engineering experience, cloud expertise, Apache Spark, MLOps, and strong enterprise stakeholder-management skills.

Provides hands-on architectural leadership for strategic enterprise accounts, designing and implementing Databricks solutions across data engineering, analytics, machine learning, and GenAI. Requires 12+ years in data or technical architecture, strong customer-facing consulting experience, coding ability, and expertise with big data and cloud platforms.

This customer-facing engineer designs, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. The role requires 6+ years of engineering experience, cloud expertise, Apache Spark proficiency, and the ability to lead technical delivery with enterprise customers.

Customer-facing solutions architect helping public sector clients evaluate, design, and implement Databricks data and AI solutions. Requires 7+ years in pre-sales architecture or consulting, distributed data systems expertise, public cloud experience, and a Top Secret clearance.

The Senior Solutions Architect partners with Spanish customers and Account Executives to design and demonstrate complex big data solutions, guide technical adoption, and deliver proofs of concept. The role requires coding experience, cloud and analytics expertise, strong customer communication, and Spanish-English proficiency.

Shapes customer data and AI architectures, leads technical pre-sales engagements, and delivers proofs of concept using the Databricks platform. Requires 8+ years in data engineering, data science, architecture, or consulting, plus big data, distributed systems, coding, and public cloud experience.

Build and productionize customer-facing data and AI solutions on the Databricks platform, owning architecture, implementation, and technical delivery. Requires 6+ years of engineering experience, cloud expertise, Apache Spark, ML/AI, and enterprise client engagement skills.

Architects production-grade machine learning and AI workloads for enterprise customers, with emphasis on GenAI, MLOps, distributed Spark systems, and cloud infrastructure. The role also supports technical sales, mentors colleagues, and requires 10+ years of industry experience plus customer-facing expertise.

Guides strategic customers through secure, production-grade big data and Databricks implementations, from cloud architecture and networking through deployment and optimization. The role combines customer-facing technical leadership, advanced pre-sales support, security data platform design, and community enablement.

The Solutions Architect partners with customers and Account Executives to design and demonstrate complex big data solutions, guide Databricks adoption, and communicate technical and business value. The role requires coding experience in Python, Java, or Scala, cloud expertise, and customer-facing architecture experience.

Leads a team of Forward Deployed and AI Engineers delivering enterprise data migrations, modernisation, and AI/GenAI programs across strategic ANZ accounts. Requires substantial people leadership, technical architecture or data/AI engineering experience, and executive stakeholder management.

Leads a Forward Deployed Engineering team delivering enterprise data migrations, AI/ML platforms, and generative AI solutions. The role combines people leadership, technical coaching, customer escalation management, delivery governance, and strategic stakeholder collaboration.

This role guides customers and field engineers in architecting and productionizing AI/ML workloads, including generative AI, agentic systems, and MLOps. It requires 5+ years of industry ML experience, strong technical communication, and preferably customer-facing pre-sales or post-sales experience.

Delivers customer-facing Databricks projects, including data and AI architecture, migration, implementation, and technical support. Requires 8+ years of big data and consulting or technical architecture experience, plus Python or Scala expertise and strong project delivery skills.

Designs and demonstrates Databricks data and analytics solutions for customers in Auckland, partnering with account teams and influencing technical decision-makers. The role requires technical pre-sales experience, coding proficiency, public-cloud expertise, and strong customer engagement skills.

Leads technical pre-sales engagements for automotive and manufacturing customers in Japan, designing Databricks-based data and AI solutions across public clouds. The role requires customer-facing architecture, prototyping, demonstrations, proof-of-concepts, and business-professional Japanese fluency.

Pre-sales Solutions Architect guiding enterprise customers through Databricks evaluations, architecture design, integrations, and adoption. The role requires public-cloud implementation experience, customer-facing technical communication, and expertise in data, analytics, or AI.

Leads a team of Solutions Architects supporting Financial Services customers through technical pre-sales, architecture guidance, demonstrations, and data and AI solutions. Requires experience managing technical pre-sales teams and deep expertise in data platforms, analytics, data engineering, or machine learning.

Embeds with strategic customers to architect and deliver production-grade full-stack applications on the Databricks platform, spanning data engineering, AI/ML integration, and user-facing development. Requires strong software engineering breadth, enterprise delivery experience, and executive-level communication.

The Senior Solutions Architect will guide enterprise adoption of the Lakebase transactional database product, designing customer solutions, leading technical engagements, and influencing product strategy. The role requires extensive OLTP expertise, customer-facing pre-sales experience, cloud proficiency, and strong SQL and Python skills.

Delivers end-to-end data and AI solutions for enterprise customers on the Databricks platform, owning architecture, implementation, and production deployment. The role requires strong software or data engineering experience, cloud expertise, Apache Spark knowledge, and customer-facing project delivery skills.

This role partners with account teams to architect and promote Databricks’ Lakebase transactional database product, driving adoption through customer strategy, demos, workshops, and technical leadership. It requires extensive OLTP expertise, customer-facing pre-sales experience, cloud proficiency, and strong SQL and Python skills.

Leads a team of Delivery Solution Architects responsible for post-sales customer strategy, adoption, growth, and production delivery across Southern Europe and adjacent markets. Requires 10+ years in customer-facing work, leadership of consulting or architecture teams, cloud/data/AI expertise, and fluency in Italian and English.

Leads complex customer implementation and professional services programs across Latin America, while driving services sales, account growth, and customer value realization. Requires extensive senior customer-facing experience, professional services leadership, and strong Databricks and cloud-partner knowledge.

Leads and grows a customer-facing engineering team delivering complex data engineering and AI solutions for strategic customers. The role combines people leadership, executive stakeholder management, hands-on technical escalation, and expertise in modern data platforms and cloud technologies.

This customer-facing presales role partners with sales teams to design, demonstrate, and validate scalable data and AI solutions. It requires hands-on Python and data-platform experience, architectural judgment, and the ability to communicate with both technical and business stakeholders.

Leads technical strategy and executive advisory for strategic greenfield data and AI engagements across the Nordics. The role requires 8+ years in technical, client-facing work, strong architecture expertise, and the ability to drive adoption and alignment through ambiguity.

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

Delivers production-grade data and AI solutions for enterprise customers using the Databricks platform, owning architecture, implementation, and customer adoption. The role requires strong data or software engineering experience, cloud expertise, Apache Spark, MLOps, and technical project delivery skills.

Leads customer-facing architecture, consulting, and delivery of Databricks-based big data and AI solutions across cloud platforms. Requires extensive big data experience, independent architecture expertise, AI implementation experience, and strong Python or Scala skills.

Leads a professional services team delivering technical data-engineering projects and guiding customers through their Databricks journey. The role combines people management, customer escalation ownership, solution design, reusable tooling, and stakeholder partnership.

This senior solutions architect advises complex enterprise customers on adopting the Databricks Data Intelligence Platform, leading technical pre-sales engagements, proofs of concept, architecture design, and executive stakeholder alignment. The role requires experience in data engineering, warehousing, or AI/ML, plus Python or SQL and public cloud expertise.

Provides technical leadership for strategic customers, designing data and AI architectures, proofs of concept, and cloud integrations on the Databricks platform. The role requires 8+ years of relevant experience, strong consulting and customer-facing skills, coding ability, and expertise in big data technologies.

Provides post-sales architecture leadership for strategic customers, guiding Databricks data, analytics, and AI use cases from development through production. The role requires customer-facing technical delivery experience, distributed data systems expertise, stakeholder coordination, and strong commercial accountability.

Leads post-sale technical adoption and production delivery for Databricks data and AI workloads, partnering with sales, engineering, Professional Services, and customer executives. Requires 8+ years in technical data/AI delivery, customer-facing architecture or consulting, programming, distributed systems, and complex program management.