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The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. You understand the relevance and application of ML & AI within a range of use cases important to the digital native customers in the Fintech space The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability

The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. You understand the relevance and application of ML & AI within a range of use cases important to the digital native customers in the Healthtech space The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated abil

Req ID: FEQ427R45 Location London, UK The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialisation (archetype) and are recognised within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialisation (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g., real-time/streamin

FEQ327R210 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world. Reporting to the Field Engineering Manager, you will collaborate with existing DNB customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. The impact you will have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications Collaborate with your fellow Solutions Architects, using your skills to support each other and our users Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What we look for: 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role Experience building distributed data systems Comfortable programming in, and debugging, Python and SQL Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in one of the following: Data Engineering technologies ( Ex: Spark, Hadoop, Kafka ) Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, pytorch,

P-273 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world. Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. The impact you will have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications Collaborate with your fellow Solutions Architects, using your skills to support each other and our users Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What we look for: 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role Experience building distributed data systems Comfortable programming in, and debugging, Python and SQL Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in one of the following: Data Engineering technologies ( Ex: Spark, Hadoop, Kafka ) Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, pytorch, Tensorflow ) Avai

The Role As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the most complex strategic customer engagements within the Digital Native Business. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, str

As a Sr. Solutions Architect on the team supporting the strategic Digital Natives Business (DNB) customers, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. The impact you will have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. Lead technical discovery and design architectures, implement proof of concepts for strategic projects spanning data engineering, data science and machine learning, and SQL analysis workflows. You will also help customers build solutions that integrate with cloud services, home grown tools, and other 3rd party applications. Act as strategic technical advisor to customers to help them drive business outcomes. Collaborate with your fellow Solutions Architects, using your skills to support each other and our users. Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, MLflow, Omnigent) across the developer community. What we look for: 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role Experience building distributed data systems Comfortable programming in and debugging Python and SQL Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in one of the following: Data Engineering technologies ( Ex: Spark, Hadoop, Kafka ) Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, PyTorch, Tensorflow ) Available to travel to customers in yo

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Director, Sales Engineering, Greater Asia to join our Solutions Consulting team. This is a hybrid role based in Singapore, reporting to the VP, Solutions Consulting in the Solutions Consulting department. You will build and scale a high-performing pre-sales engineering organization that partners with Sales to shape demand, accelerate win rates, and deliver customer confidence in the Zero Trust Exchange across Greater Asia. Setting the technical sales strategy for diverse, fast-growing markets, you will develop leaders and senior technical talent who consistently deliver outcomes. In this role, you will partner cross-functionally with Sales, Product, Marketing, and Customer Success leadership to ensure regional readiness, launch excellence, and repeatable success across complex environments. What you’ll do (Role Expectations) Lead and scale the Greater Asia Solutions Consulting organiz

The Healthcare Senior Solutions Engineer is a strategic expert who understands the specific needs of healthcare organizations and provides business-driven consulting to both prospective and existing customers. SEs offer healthcare-centric expertise that helps our Sales team establish clear value, differentiation, and trust in our AI-powered Contact Center and CX solutions. This individual is a seasoned operator or practitioner with deep experience in healthcare environments—across providers, payers, or digital health—bringing knowledge of clinical workflows, regulatory compliance (HIPAA, HITECH), and patient engagement to every interaction. They engage throughout the entire sales lifecycle, from pre-sales engineering and technical qualification to solution architecture and post-sale expansion. The Healthcare Solutions Engineer is a recognized thought leader who confidently supports C-level discussions, accelerates deal cycles, and helps identify and expand revenue opportunities in healthcare. Key Responsibilities Conducts research to prepare for upcoming meetings with prospects to understand their business environment, market, customers, competitors and general business challenges. Carries out discovery conversations with customers to understand their needs and requirements for a new solution. Uncovers customer pains, learns about customer's objectives and potential needs, gathers metrics necessary for pricing and/or value discussions. Listens to the customer to gather information that can be leveraged in upcoming presentations. Uses their in-depth knowledge of Talkdesk solutions and capabilities to specify the appropriate solution(s) for customer needs and requirements. The SE is continually learning about Talkdesk solutions to keep up with innovations and new releases of TD software. Designs and delivers presentations to customers, on-site & virtual, showing Talkdesk’s capabilities, aligned to the customer's pains and needs that were uncovered during Discovery

About the Team The Applied AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As the Manager of Applied AI Architects in Munich, you will lead a team of senior technical leaders responsible for the technical strategy, customer journey, and path to production value for OpenAI's Digital Native customers across the DACH region. Your team will act as the “CTO of the book of business,” partnering with customer executives and technical teams from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will set the operating model for how Applied AI Architects own technical account plans across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In close partnership with Sales leadership and Account Directors, you will help prioritize customer portfolios, allocate technical resources, and ensure business priorities translate into focused use cases, credible architectures, actionable adoption roadmaps, and durable customer value and growth. You will remain accountable for the team's technical outcomes while developing its people and bringing in the right specialists across deployment, implementation, enablement, security, product, research, and partners. You will serve as an executive technical sponsor for critical engagements, a senior voice of the customer inside OpenAI, and a cross-functional leader who can move confidently between regional strategy, executive decision-making, architectural depth, and hands-on coaching.

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team Celonis Value Engineering owns the customer value lifecycle — from pre-sales through value realization, expansion, and renewal. In India, VE is a strategic pillar of our global go-to-market engine and a growing center of excellence. You will lead a team of accomplished Value Engineers serving global and GCC-based customers. The Role As a Manager, Value Engineering , you will lead a team of ~15–20 Value Engineers (spanning experienced ICs and, over time, managers) and own a significant portfolio of business. You will be a role model and coach — raising the bar on excellence, developing world-class talent, and driving end-to-end customer value across acquisition, adoption, expansion, and renewal. You will partner closely with sales and GTM leadership, engage senior customer stakeholders (CIOs, CxOs, and their leadership teams), and help customers ground their Enterprise AI ambitions in the operational reality that Celonis makes visible. The scope is deliberately fluid: strong leaders here can grow into leading other managers or into an industry/domain leadership mandate. The Opportunity This is a chance to join the core leadership team of a fast-scaling organization at an inflection point. The India VE team is ~30 today

FEQ427R436 As a Manager, Field Engineering, you will lead a diverse team of technical pre-sales Solutions Architects covering the Japan region. You’ll play a key leadership role at the intersection of technology and business—guiding your team to design impactful solutions and drive growth through collaboration and innovation. You’ll empower your team to communicate complex ideas with clarity, support strategic enterprise customer engagements, and build lasting partnerships with clients and internal stakeholders. This role reports to the Technical GM – Japan. The impact you will have: Lead, mentor, and support a high-performing, inclusive pre-sales team Foster an environment of belonging, continuous learning, and psychological safety that reflects Databricks’ values of customer focus, teamwork, and diversity. Work closely with Sales and other teams to identify opportunities and deliver data-driven, value-focused solutions. Establish best practices that improve team efficiency, collaboration, and business impact. Build trusted relationships with customers and partners, acting as a strategic advisor in their digital transformation journey. Partner with Marketing, Sales, Services, and other cross-functional teams to ensure a seamless customer experience. Represent Databricks as part of the regional leadership team, contributing to our local presence and inclusive culture. What we’re looking for: You do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply. Proven experience leading or managing technical teams in Big Data, Cloud, or SaaS environments—or equivalent experience gained through hands-on engineering or consulting work. A track record of coaching and developing diverse, high-performing teams. Strong collaboration skills and the ability to partner effectively with Sales, Marketing, and other cross-functional leaders. Excellent communication and interper

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Solutions Engineer (Enterprise Pre-Sales) Secure Every Identity, from Human to AI Agent About the Role At Okta, we believe that identity is the foundation of security and digital transformation. As a Senior Solutions Engineer, you will be the trusted technical advisor to our largest, most complex enterprise customers and a critical driver of our sales organization. We are looking for a highly strategic Pre-Sales professional whose consultative expertise, emotional intelligence, and enterprise sales acumen are their defining strengths. While technical agility is required, your primary focus will be owning the technical sales cycle by anchoring technical features to positive business outcomes. You will partner closely with Enterprise Account Executives to uncover top-of-mind business challenges—specifically around mitigating risk, reducing costs, and driving operational efficiency. By establishing value-based conversations, you will prove how Okta’s independent, neutral, and end-to-end identity platform can transform their architecture and secure the "Tech Win" on large-scale deals. What You'll Be Doing Master the Discovery Process: Leverage exceptional active listening to dig deep into customer pain points. You will uncover the 'why' behind the initiative, focusing on how Okta's vast pre-built integrations and scalable architecture can solve their most complex, diverse environmental challenges. Navigate Complex Organizations: Translate highly technica

FEQ427R364 Location: Sydney As a Sr. Manager, Field Engineering, you will lead a diverse team of technical pre-sales Solutions Architects covering the APJ region. You’ll play a key leadership role at the intersection of technology and business—guiding your team to design impactful solutions and drive growth through collaboration and innovation. You’ll empower your team to communicate complex ideas with clarity, support strategic enterprise customer engagements, and build lasting partnerships with clients and internal stakeholders. The impact you will have: Lead, mentor, and support a high-performing, inclusive pre-sales team Foster an environment of belonging, continuous learning, and psychological safety that reflects Databricks’ values of customer focus, teamwork, and diversity. Work closely with Sales and other teams to identify opportunities and deliver data-driven, value-focused solutions. Establish best practices that improve team efficiency, collaboration, and business impact. Build trusted relationships with customers and partners, acting as a strategic advisor in their digital transformation journey. Partner with Marketing, Sales, Services, and other cross-functional teams to ensure a seamless customer experience. Represent Databricks as part of the regional leadership team, contributing to our local presence and inclusive culture. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: As a Senior Value Engineer - Manufacturing at Celonis, you will solve business-critical operational problems for strategic accounts across CPG, pharmaceutical, and process manufacturing. Working alongside top AI/ML partners like OpenAI, Microsoft, and Databricks, you will leverage the Celonis Process Intelligence (PI) platform to bridge IT/OT systems (ERP, MES, SCADA), feed business context to AI, and drive measurable ROI at scale. In this role, you will combine hands-on technical validation (SQL, Python, Prompt Engineering) with high-level strategy—redesigning processes via agentic automation, steering data architectures, and leading end-to-end client engagements from technical workshops to executive readouts. Key Responsibilities: Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales expansion cycles and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully met. Insights framing and value realization: Owns driving enterprise-wide ROI and adoption programs. Increasingly accelerates customer autonomy with improved cadences and executive sponsorship through QBRs,