Latest Solutions Architecture jobs at Databricks

Leads technical strategy and solution architecture for strategic Japanese public sector customers, designing secure Databricks data and AI platforms and guiding pilots into production. Requires at least five years in data, analytics, or cloud architecture, substantial Japan public sector experience, and native-level Japanese.

The Senior Solutions Architect will design and demonstrate end-to-end data and AI solutions, guide enterprise customers through technical pre-sales engagements, and deliver complex proofs of concept. The role requires strong data science, generative AI, programming, cloud, and customer-facing expertise, plus coaching experience.

Leads a team of Partner Solutions Architects supporting consulting and systems-integrator partners with lakehouse architecture, data and AI solutions, and Databricks adoption. Requires 8+ years in senior pre-sales or post-sales roles, technical data expertise, and experience building teams in hyper-growth environments.

Leads strategic enterprise engagements across the UK and Ireland, advising C-suite stakeholders on Data and AI transformation and designing solutions across major cloud ecosystems. The role requires deep data platform expertise, commercial awareness, executive communication, and experience influencing global-scale technology change.

Designs and presents scalable Databricks data architectures for customers throughout the sales lifecycle. The role requires 5+ years in pre-sales, technical architecture, or consulting, strong data-platform expertise, and customer-facing communication skills.

Leads post-sale technical delivery, adoption, and production rollout of Databricks workloads for strategic Healthcare and Life Sciences customers. Requires 5+ years in Data and AI program delivery, customer-facing architecture or consulting experience, and proficiency in Python, SQL, or Scala.

Leads post-sale technical strategy, delivery, and adoption for complex Databricks customers, coordinating internal teams from onboarding through production and consumption. Requires 7+ years in Data and AI delivery, programming experience, distributed-systems architecture knowledge, and strong executive stakeholder management.

Leads post-sale technical strategy, delivery, and adoption of Databricks workloads for complex strategic customers. The role requires 5+ years in Data and AI program delivery, programming experience, distributed-systems architecture knowledge, executive stakeholder management, and customer-facing technical or consulting experience.

Leads technical partnerships with major AI labs by shaping joint roadmaps, building integrations and proofs of concept, and designing production AI architectures. Requires 10+ years in field engineering, consulting, platform architecture, or AI systems development, plus strong Python and partner-influence skills.

Leads complex, multi-quarter Professional Services and Training engagements for CMEG customers, shaping account strategy, solving regional and regulatory challenges, and advising senior stakeholders. Requires 10+ years of Professional Services leadership and deep expertise in Databricks architecture and ecosystem.

Designs data and AI architectures, proofs of concept, and integrations for strategic customers while partnering with sales and customer-facing teams. Requires 5+ years in data engineering, data science, architecture, or pre-sales consulting, plus Python, SQL, distributed systems, and public cloud experience.

Leads customer-facing pre-sales architecture and adoption of the Databricks platform for strategic banking and financial-services customers. Requires 8+ years of pre-sales or consulting experience, distributed data-system architecture expertise, cloud experience, and programming skills.

Pre-sales Solutions Architect partnering with Account Executives to define technical strategy for large Retail/CPG accounts. Leads data-driven transformation and ML/AI adoption of Databricks platform; requires 8+ years enterprise experience including 4+ years pre-sales.

Pre-sales Solutions Architect partnering with Account Executives to define technical strategy for large Retail, Travel & Hospitality accounts. Leads data-driven transformation and ML/AI adoption of Databricks platform, building technical champions while providing mentorship.

Sr. Forward Deployed Engineer at Databricks works hands-on with customers to architect, design, and implement production data and AI solutions on the Databricks platform. Requires 6+ years in data/software engineering, strong Spark and cloud expertise, and customer-facing project delivery skills.

Solutions Architect on the Financial Services team partners with sales to provide technical leadership, design big data architectures, run POCs, and guide customers through Databricks adoption and implementation. Requires 7+ years pre-sales/consulting experience with distributed data systems and programming in Python/SQL/Scala/Java/R.

Senior pre-sales Solutions Architect working with Enterprise Account Executives to define technical strategy for large accounts. Leads customers on data/AI transformation journeys with Databricks, builds technical champions, and drives ML & AI adoption. Requires strong technical background in big data, cloud, and production programming.

Solutions Architect partnering with sales to help Public Sector customers adopt Databricks for big data, analytics, and ML use cases. Provide technical leadership, deliver POCs, build reference architectures, and become a trusted advisor. Requires 8+ years pre-sales/consulting experience with distributed data systems and public cloud.

Solutions Architect who provides technical leadership to customers adopting Databricks' Data and AI platform. Responsibilities include consulting on big data architectures, implementing POCs for data science/ML projects, building reference architectures, and evangelizing open-source projects like Spark and Delta Lake. Requires 4+ years customer-facing technical experience, distributed systems knowledge, and proficiency in at least one programming language plus cloud platforms.

Solutions Architect partnering with sales to help Public Sector (Defense Industrial Base) customers adopt Databricks for big data, analytics, and ML use cases. Requires 8+ years pre-sales technical architecture experience, distributed systems design, cloud platforms, and US citizenship.

Solutions Architect partnering with sales to help Financial Services customers evaluate and adopt Databricks for big data, analytics, and ML use cases. Requires 7+ years pre-sales technical architecture experience, distributed systems design, and proficiency with Spark, cloud platforms, and at least one programming language.

Leads post-sale technical delivery, adoption, and executive governance for strategic Databricks customers, coordinating internal teams to move Data and AI use cases into production. Requires 5+ years of technical program or project delivery experience, customer-facing expertise, and Python, SQL, or Scala proficiency.

Forward Deployed Engineer building and productionizing customer data and AI solutions on the Databricks platform. Own end-to-end architecture, implementation, and delivery of data pipelines, ML models, and applications while embedding with customer teams. Requires 5+ years in data/software engineering, Spark expertise, and multi-cloud knowledge.

Sr. Solutions Architect partnering with sales to provide technical leadership for Databricks Data & AI platform with strategic Digital Native customers. Lead discovery, architecture design, POCs for data engineering, ML, and analytics workflows; requires 7+ years in data engineering/science or pre-sales architecture roles with expertise in distributed systems, Python/SQL, and cloud providers.

Forward Deployed Engineer working directly with customers to design, build, and productionize end-to-end data and AI solutions on the Databricks platform. Requires 6+ years of data/software engineering experience, deep Spark expertise, multi-cloud knowledge, and strong customer-facing project delivery skills.

Solutions Architect partnering with sales to help Financial Services customers adopt Databricks for data, analytics, and AI use cases. Provide technical leadership, design architectures, run POCs, and serve as a trusted advisor. Requires 10+ years pre-sales/consulting experience with big data technologies.

Pre-sales Solutions Architect partnering with Enterprise Account Executives to define technical strategy for large accounts, driving Databricks adoption for ML and AI use cases in High Tech and Manufacturing. Requires deep technical background in big data, data science, cloud, and production programming.

Forward Deployed Engineer (Solutions Architect) delivering big data, Spark, and AI projects for Databricks customers in media/entertainment. Requires 6+ years data engineering experience, Python/Scala, deep Spark knowledge, multi-cloud expertise, and client-facing project delivery skills.

Partner with customers and Account Executives as a trusted advisor to design scalable Lakehouse architectures, consult on data engineering/ML projects, build reference architectures and demos, and drive technical wins throughout the sales lifecycle using Databricks platform. Requires 4+ years customer-facing pre-sales or consulting experience with big data, SQL, and at least one programming language.

Delivery Solutions Architect leading post-sale technical strategy, adoption, and success for Databricks Data Intelligence Platform with Startup and Emerging Enterprise customers. Requires 5+ years in data/AI project delivery, programming skills, customer-facing technical experience, and ability to drive business outcomes.

Serve as customer-facing senior technology advisor to C-level public sector leaders on data/AI modernization and mission transformation using the Databricks Data Intelligence Platform. Requires 15+ years experience in enterprise tech, public sector transformation, modern data architectures, and cloud platforms.

Pre-sales Solutions Architect partnering with Enterprise Account Executives to define technical strategy for large accounts. Leads data-driven transformation and ML/AI adoption for High Tech and Manufacturing customers using Databricks platform. Requires strong technical background in big data, cloud, and production programming.

Pre-sales Solutions Architect partnering with AEs to define technical strategy and drive ML/AI adoption for large Oil, Gas & Energy accounts. Requires deep big data/data science/cloud expertise, production programming experience, and proven success with global enterprise accounts.

Lead pre-sales technical engagements for the Databricks Data Intelligence Platform within Financial Services. Design distributed data architectures, run POCs, and guide customers through implementation of Spark, Delta Lake, and MLflow solutions.

Lead and scale a team of Forward Deployed Engineers and AI Engineers delivering large-scale data migrations, AI/ML platforms, and enterprise analytics programs for strategic Databricks customers.

Hands-on customer-facing Forward Deployed Engineer delivering production data, AI, and application solutions on the Databricks platform for enterprise clients.

Hybrid technical-commercial role leading post-sale technical strategy for strategic Databricks customers. Drive adoption, go-live, and consumption of Data/AI workloads while managing complex programs and executive relationships.

Senior pre-sales Solutions Architect leading technical strategy and ML/AI adoption for large enterprise manufacturing accounts. Partners with AEs to drive data-driven transformation and build technical champions.

Sr Technical Solutions Engineer supporting secure GovCloud and air-gapped data/AI platform operations for public sector and defense customers. Requires active TS/SCI clearance and 5+ years in systems/cloud engineering.

Lead technical pre-sales for Databricks in the Public Sector (Defense Industrial Base). Architect distributed data solutions, run POCs, and drive adoption of Spark, Delta Lake, and MLflow with government customers.

Hybrid technical-commercial role leading post-sale technical strategy for strategic public sector accounts. Drive adoption of Databricks platform through technical account leadership, customer success, and coordination across internal teams.

Owns non-technical lifecycle of Forward Deployed Engineering engagements with strategic customers, from C-suite scoping and PRD creation to agile project delivery and solution adoption. Partners with sales and engineers on high-value AI pilots requiring product mindset and execution drive.

Leads post-sale technical strategy and execution for Databricks platform adoption in strategic financial services accounts. Drives onboarding, enablement, and production acceleration of data/AI workloads with 7+ years experience in Data/AI delivery and programming in Python, SQL, or Scala.

Senior Solutions Architect partners with sales to develop customer engagement strategies, influences stakeholders on Databricks Data Intelligence Platform adoption, and provides expert technical guidance on data analytics architecture. Requires coding experience in Python/Java/Scala, Spark knowledge, and hands-on cloud POCs.

Leads technical adoption of Databricks platform for emerging enterprise customers, designs data/AI architectures, builds proofs of concept, and evangelizes open-source projects like Spark and Delta Lake. Requires 5+ years customer-facing experience in data engineering/science and cloud platforms.

Leads technical sales for Databricks platform in Public Sector, partnering with sales to architect solutions, build POCs, and guide customer adoption using Spark, Delta Lake, and cloud providers. Requires 8+ years customer-facing experience and expertise in distributed data systems.

Works with healthcare and life sciences clients on big data projects using Databricks, designing architectures, implementing solutions, and providing technical support. Requires 6+ years in data engineering, Spark expertise, cloud platforms, and coding in Python/Scala.

Leads adoption of Databricks platform by architecting Data and AI solutions, implementing proofs of concept, and guiding customers on big data, ML, and cloud integrations. Requires 3+ years customer-facing experience, programming skills, and expertise in distributed systems.

Solutions Architect specializing in Lakebase (OLTP) collaborates with sales to drive product adoption, architects integrations in cloud ecosystems, and influences roadmap. Requires 10+ years OLTP expertise, SQL/Python proficiency, and bachelor's in technical field.

Leads technical strategy for large enterprise accounts, partnering with sales to drive Databricks adoption through POCs, demos, and ML/AI expertise. Requires deep experience in data engineering, data science, and production programming in Python/Scala/Java.