Field Engineering Italy Manager Jobs

FEQ427R143 As an Infrastructure & AI Platform Specialist Solutions Architect (SSA), you will serve as a trusted technical advisor, guiding enterprise customers through the architecture, cloud infrastructure, and AI deployment patterns of their Databricks Platform on AWS. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. This role can be remote. The Impact You Will Have Guide strategic customers through the full lifecycle of Databricks on AWS, including platform administration from initial architectural design to production deployment Architect and scale compute/networking infrastructure designed specifically for AI workloads, enterprise LLM deployments, and high-performance GenAI applications built on Databricks Serve as a subject matter expert in core areas such as AWS infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Orchestrate cross-functional resources (DSAs, SAs, 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, technical pre-sales, or a senior hands-on technical role Hands-on experience architecting underlying cloud infrastructure for AI/ML execution—including accelerator configuration (GPUs/TPUs), scalable model serving infrastructure, vectorized data retrieval, and balancing cloud performance vs. cost for large-scale AI workloads. Advanced expertise across the following areas: Security & Identit y: AWS security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols (AWS IAM, AWS IAM Identity Center, SCIM, OAuth, SAML, Federation) Networking &amp

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Strategic Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape of one of the largest global tech companies by working with the most sophisticated data engineering and data science teams. Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide one of our largest AI native 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 (

FEQ427R216 The Role As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. 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, streaming/real-time, l

REQ# FEQ327R416 At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect. Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications. Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups. Become a Big Data Analytics advisor on aspects of architecture and design. Support your customers by authoring reference architectures, how-tos, and demo applications. Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect. What we look for: Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outco

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption and product market fit to grow customer adoption across EMEA. By working with leadership, product and direct account teams, you will jointly engage customers, foster the necessary relationships and position in-depth approaches to migrating their EDW to the Databricks Intelligence Platform. You will develop the appropriate approach, the guardrails, and the steps needed for customers to successfully deliver on their business objectives. The Solutions Architect (EDW Migrations) is paired with Product Specialists for Data and Governance. Together, you will devise and implement a strategy across key accounts, develop presentations, demos and other assets, and with account teams deliver them such that the field and customers make informed decisions on adoption strategy and its implementation. The impact you will have Lead Regional Migration Strategy: Collaborate with EMEA GTM leadership and account teams to design and drive the technical GTM and adoption strategy for large-scale EDW migrations to the Databricks Intelligence Platform Develop Programmatic and Scalable Migration Processes: Architect and continuously refine programmatic assets and detailed technical guides that enable field teams and partners to execute migrations. Build and Integrate Assessment Tooling: Help maintain, enhance, and direct the development of automated assessmen

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption and product market fit to grow customer adoption across EMEA. By working with leadership, product and direct account teams, you will jointly engage customers, foster the necessary relationships and position in-depth approaches to migrating their EDW to the Databricks Intelligence Platform. You will develop the appropriate approach, the guardrails, and the steps needed for customers to successfully deliver on their business objectives. The Solutions Architect (EDW Migrations) is paired with Product Specialists for Data and Governance. Together, you will devise and implement a strategy across key accounts, develop presentations, demos and other assets, and with account teams deliver them such that the field and customers make informed decisions on adoption strategy and its implementation. The impact you will have Lead Regional Migration Strategy: Collaborate with EMEA GTM leadership and account teams to design and drive the technical GTM and adoption strategy for large-scale EDW migrations to the Databricks Intelligence Platform Develop Programmatic and Scalable Migration Processes: Architect and continuously refine programmatic assets and detailed technical guides that enable field teams and partners to execute migrations. Build and Integrate Assessment Tooling: Help maintain, enhance, and direct the development of automated assessmen

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption and product market fit to grow customer adoption across EMEA. By working with leadership, product and direct account teams, you will jointly engage customers, foster the necessary relationships and position in-depth approaches to migrating their EDW to the Databricks Intelligence Platform. You will develop the appropriate approach, the guardrails, and the steps needed for customers to successfully deliver on their business objectives. The Solutions Architect (EDW Migrations) is paired with Product Specialists for Data and Governance. Together, you will devise and implement a strategy across key accounts, develop presentations, demos and other assets, and with account teams deliver them such that the field and customers make informed decisions on adoption strategy and its implementation. The impact you will have Lead Regional Migration Strategy: Collaborate with EMEA GTM leadership and account teams to design and drive the technical GTM and adoption strategy for large-scale EDW migrations to the Databricks Intelligence Platform Develop Programmatic and Scalable Migration Processes: Architect and continuously refine programmatic assets and detailed technical guides that enable field teams and partners to execute migrations. Build and Integrate Assessment Tooling: Help maintain, enhance, and direct the development of automated assessmen

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption and product market fit to grow customer adoption across EMEA. By working with leadership, product and direct account teams, you will jointly engage customers, foster the necessary relationships and position in-depth approaches to migrating their EDW to the Databricks Intelligence Platform. You will develop the appropriate approach, the guardrails, and the steps needed for customers to successfully deliver on their business objectives. The Solutions Architect (EDW Migrations) is paired with Product Specialists for Data and Governance. Together, you will devise and implement a strategy across key accounts, develop presentations, demos and other assets, and with account teams deliver them such that the field and customers make informed decisions on adoption strategy and its implementation. The impact you will have Lead Regional Migration Strategy: Collaborate with EMEA GTM leadership and account teams to design and drive the technical GTM and adoption strategy for large-scale EDW migrations to the Databricks Intelligence Platform Develop Programmatic and Scalable Migration Processes: Architect and continuously refine programmatic assets and detailed technical guides that enable field teams and partners to execute migrations. Build and Integrate Assessment Tooling: Help maintain, enhance, and direct the development of automated assessmen

FEQ427R382 As an AI/ML Specialist Solutions Architect (SSA), you will lead the advanced AI/ML technical strategy for your customers — owning complex 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 further developing a technical specialization and are recognized within the Field Engineering team for depth in the specific domain. This position can be remote. The Impact You Will Have Own the end-to-end AI/ML technical strategy for your accounts, from discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning AI/ML, including Retrieval-Augmented Generation (RAG), tool calling, multi-agent orchestration, guardrails, AI evaluation, and observability systems 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, SAs, 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, technical pre-sales, or a senior hands-on technical role in the following areas: ML Engineering: Building and maintaining cloud infrastructure (AWS, Azure, or GCP) supporting production ML applications and drift monitoring AI Engineering: Working with LLMs and agentic systems, including vector databases, fine-tuning, AI guardrails, and frameworks like LangChain, Hugging Fac

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. POSITION DESCRIPTION This is not a traditional sales engineering or software development role. As a Forward Deployed Engineer (FDE), you are at the critical intersection of our code, our clients, and their most critical missions. You will be deployed to our most strategic partners, embedding within their environments to solve high-stakes problems that have no textbook answers. You own the "last mile" of our product's impact , ensuring our technology fundamentally transforms how our users confront challenges such as financial crime, supply chain disruption, and threats to national security. You are equal parts engineer, strategist, and operator. One day you might be architecting a data pipeline within a client's cloud environment ; the next, you'll be writing production Python to integrate our API into a proprietary analytics platform ; and by the end of the week, you could be briefing a C-level executive, intelligence analyst, or mission director on the outcomes your work has enabled. You thrive on ambiguity, operate with extreme ownership, and are relentless in your pursuit of delivering real-world value. You will act as a vital conduit between the front lines and o

FEQ427R286 We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Solutions Architect defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts. Your work with customers will include partnering with hands-on resources. You will build proofs-of-concept and demonstrate Databricks' products, and you need to be technical and understand the relevance and application of ML & AI across a range of use cases important to the target accounts in various verticals. You will be a technical partner to our customers, working alongside hands-on resources to build proofs of concept and showcase Databricks products. A deep understanding of ML & AI's relevance and application across a variety of crucial use cases for target accounts in different verticals is essential for this role. Outcomes You work with multiple clients as the main technical voice for Databricks. You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You implement the technical strategy in the accounts with a clear understanding of this strategy and its business value. You build a movement of technical champions within the account. You align technical strategies around Databricks solutions. You provide structured mentorship for other team members. Gain your peers' respect through your experience, insight, and contributions. Competencies: Experience in establishing virtual teams and leading them to ultimate success within the account. Experience working with very large (> $1m ARR), global accounts. Experience building relati

FEQ327R503 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory. Coach junior Solutions Architects and teams on use case prioritization and building technical champions. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform. Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. Opportunity to continue your development

FEQ427R339 Location: Melbourne or Sydney As a Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. The impact you will have: Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: 5+ years of hands-on industry ML experience in at least one of the following: ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GC

FEQ427R111 As a Senior Solutions Architect, 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. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems Reporting to the Field Engineering Leader, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. This is a Hybrid role, based in Mumbai. 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. You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. 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 u

FEQ427R29 Solution Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 7+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in