Databricks

<div>REQ ID: CSQ427R198
Location: Amsterdam, Netherlands - Remote 
<h4 class="jobSectionHeader">Mission</h4>
The Forward Deployed AI Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first of its kind AI applications with a focus on GenAI. We work cross-functionally to shape long-term strategic priorities and initiatives alongside AI/ML Product, Research, and Engineering.
We are looking for a world-class leader to lead and grow our EMEA AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key EMEA accounts. You will report directly to the Head of EMEA AI FDE. This role can be remote in Europe, but the preference is for candidates to be near a major office location such as London, Amsterdam, Paris, or Munich. Candidates should expect to travel at least once a month.
<h3 class="jobSectionHeader">The impact you will have:</h3>
<ul><li>Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale</li>
<li>Develop and expand executive relationships with EMEA customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations</li>
<li>Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions</li>
<li>Lead strategic AI PS initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team</li>
<li>Shape cross-functional collaboration by influencing Product, R&amp;D, and GTM&mdash;ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy</li>
<li>Own OKRs for AI-services led accounts, revenue, utilization, and public references</li>
<li>Represent Databricks as a thought leader in AI/ML</li>
</ul><h3 class="jobSectionHeader">What we look for:</h3>
<ul><li>Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organizations through developing scalable processes and cultivating leaders</li>
<li>Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments</li>
<li>Deep technical expertise in ML, GenAI, and data science, and curiosity to continue to stay up-to-date in this ever-changing field</li>
<li>Experience leading teams building cutting-edge production ML solutions in cloud environments (AWS, Azure, or GCP)</li>
<li>Proven success developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements</li>
<li>Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI/ML</li>
<li>&ldquo;Company-first&rdquo; mindset</li>
Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience 
<li>
 
 
</li></ul>Preferred:
<ul><li>Experience in a customer-facing consulting or professional services leadership role</li>
<li>Experience working with Databricks</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Sr. Manager, AI Forward Deployed Engineering (AI-FDE) – EMEA

Fractal Analytics

<div>It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Forward Deployed Engineer (FDE) &ndash; Cogentiq
About Cogentiq
Cogentiq is Fractal's Enterprise AI platform that enables organizations to build, deploy, and govern intelligent AI agents grounded in enterprise context. By connecting AI with enterprise knowledge, business systems, and workflows, Cogentiq empowers enterprises to solve complex business problems with trustworthy, scalable, and production-ready AI.
Cogentiq is Fractal&rsquo;s secure, scalable, enterprise agentic AI platform that enables teams to build, test, deploy, monitor agents and multi‑agent workflows with strong observability, evaluation, guardrails and RBAC across any cloud or LLM framework. It includes a no/low‑code development console, Agent &amp; MCP Gateways, and an enterprise marketplace for reusable agents, tools, connections and guardrails.
About the Role
We are looking for Forward Deployed Engineers (FDEs) to join the founding Cogentiq team. As an FDE, you will work at the intersection of software engineering, AI, enterprise integration, and customer success.
You will partner closely with enterprise customers to understand their business challenges, design AI-powered solutions, build production-grade integrations, and deploy Cogentiq into complex enterprise environments. Beyond customer implementations, you'll help shape the evolution of the Cogentiq platform by transforming deployment learnings into reusable platform capabilities, connectors, and best practices.
This role is ideal for engineers who enjoy solving ambiguous, real-world problems, thrive in fast-paced environments, and are excited to build the next generation of Enterprise AI.
What You'll Do<ul><li>
Design and develop production-grade AI applications using the Cogentiq platform.</li><li>
Deploy enterprise AI solutions from proof of concept to production.</li><li>
Build integrations with enterprise applications such as SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks, and other business systems.</li><li>
Develop reusable connectors, APIs, SDKs, MCP servers, and automation components.</li><li>
Design secure, scalable, cloud-native architectures and build reliable backend services and microservices.</li><li>
Collaborate directly with customer engineering and business teams to understand requirements, conduct technical workshops, and deliver successful AI solutions.</li><li>
Troubleshoot production deployments, optimize system performance, and ensure reliability and security.</li><li>
Capture learnings from customer deployments and contribute reusable capabilities back to the Cogentiq platform.</li><li>
Work closely with AI engineers, platform engineers, product managers, and solution architects to continuously improve the platform.</li></ul>
What We're Looking For<ul><li>
Strong Software Engineering: You have strong software engineering fundamentals and are proficient in Python, with experience in Java or TypeScript being a plus. You have built production-grade backend applications, REST APIs, microservices, and distributed systems, and are comfortable working with databases, Git, and modern software development practices.</li><li>
AI Engineering: You have hands-on experience building AI-powered applications using Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), tool calling, prompt engineering, and AI evaluation techniques. Experience with the Model Context Protocol (MCP) and modern AI orchestration frameworks is highly desirable.</li><li>
Enterprise Integration: You have experience integrating enterprise applications and platforms such as SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks, and other business systems. You understand enterprise integration patterns, API-first architectures, authentication mechanisms such as OAuth, JWT, and SAML, and are comfortable working with SQL, REST, and GraphQL APIs.</li><li>
Cloud &amp; Platform Engineering: You have experience building and deploying cloud-native applications on Azure, AWS, or Google Cloud using Docker and Kubernetes. You understand CI/CD pipelines, event-driven architectures, messaging platforms, observability, monitoring, and security best practices required to build reliable enterprise platforms.</li><li>
Customer &amp; Product Mindset: You enjoy working directly with customers to understand their business challenges and translate them into elegant technical solutions. You communicate effectively with both technical and business stakeholders, are comfortable leading architecture discussions and technical workshops, and thrive in environments where requirements evolve rapidly. You take ownership of outcomes, learn quickly, prototype rapidly, and continuously look for opportunities to transform customer-specific solutions into reusable platform capabilities.</li></ul>
Why Join Cogentiq?<ul><li>
Join the founding engineering team building Fractal's flagship Enterprise AI platform.</li><li>
Work on cutting-edge technologies including Generative AI, Agentic AI, Enterprise Context, Model Context Protocol (MCP), Knowledge Graphs, and AI Governance.</li><li>
Solve complex enterprise challenges for some of the world's leading organizations.</li><li>
Influence both customer success and the future direction of the Cogentiq platform.</li><li>
Build reusable capabilities that will power enterprise AI deployments across industries.</li><li>
Collaborate with a team passionate about redefining how enterprises adopt and scale AI.</li></ul>
Our Ideal Candidate
We're looking for engineers who enjoy solving real customer problems, not just implementing predefined tickets. You should be equally comfortable writing production-grade code, designing enterprise integrations, collaborating with customer teams, and shaping the future of the Cogentiq platform. If you're excited about building enterprise-grade AI systems that create meaningful business impact, we'd love to hear from you.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!<h3 class="jobSectionHeader">
Hiring Related Queries</h3>
India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai
This inbox does not process resume submissions. All applications must be made through posted job openings
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</div>

Senior / Lead Forward Deployed Engineer (FDE) - Cogentiq Platform

<div>CSQ227R88
PLEASE NOTE:
 
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.
As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.
The impact you will have:
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul>What we look for:
<ul><li>6+ years experience in data engineering, data platforms &amp; analytics, or software engineering</li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification</li>
</ul><div><div><div>Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. 
 
</div><div>Zone 1 Pay Range</div>
<div>$180,656&mdash;$248,360 USD
</div></div><div><div>Zone 2 Pay Range</div>
<div>$180,656&mdash;$248,360 USD
</div></div><div><div>Zone 3 Pay Range</div>
<div>$180,656&mdash;$248,360 USD
</div></div><div><div>Zone 4 Pay Range</div>
<div>$180,656&mdash;$248,360 USD
</div></div></div><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Sr. Forward Deployed Engineer (FDE) - Public Sector

Infoorigin Inc

<div>Job Title : Senior AI Forward Deployed Engineer (Hybrid)
Duration : Long-term contract
Location : NYC Tri-State Area
Interview : Video or in-person
Job Description:
We are seeking a hands-on AI professional who can design, build, and deploy production-ready AI solutions that deliver measurable business impact. This role is ideal for someone with proven experience implementing enterprise AI solutions using Large Language Models (LLMs), workflow automation, and modern AI platforms.<h3 class="jobSectionHeader">
Responsibilities</h3><ul><li>
Design, develop, and deploy end-to-end AI solutions for business processes and decision support.</li><li>
Build AI applications and workflows using GPT, Claude, Azure OpenAI, Microsoft Copilot, and related technologies.</li><li>
Integrate AI capabilities into existing business systems, applications, and workflows.</li><li>
Partner with business stakeholders to gather requirements and deliver practical AI solutions.</li><li>
Own the full delivery lifecycle, including architecture, development, testing, deployment, and optimization.</li><li>
Develop scalable, secure, and production-ready AI applications with a focus on user adoption and business value.</li><li>
Identify and implement AI automation opportunities that improve operational efficiency and decision-making.</li><li>
Monitor and continuously optimize AI solution performance and user experience.</li></ul><h3 class="jobSectionHeader">
Required Qualifications</h3><ul><li>
Proven experience designing and deploying AI solutions in production environments.</li><li>
Strong understanding of AI workflow design, including orchestration, validation, and user adoption strategies.</li><li>
Hands-on experience with LLMs and platforms such as GPT, Claude, Azure OpenAI, and Microsoft Copilot.</li><li>
Experience building AI-powered applications, assistants, copilots, RAG solutions, or workflow automation systems.</li><li>
Strong background in API integrations, enterprise systems, and automation workflows.</li><li>
Ability to independently lead projects from requirements gathering through deployment and support.</li></ul>
Preferred Skills<ul><li>
Experience with Microsoft Copilot, Copilot Studio, Azure AI Services, or Azure AI Foundry.</li><li>
Experience with AI orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel.</li><li>
Experience with vector databases, Retrieval-Augmented Generation (RAG), and AI agents.</li><li>
Proficiency in Python and modern cloud-based application development.</li></ul>
Not a Fit If<ul><li>
Primarily focused on AI research or model training.</li><li>
Limited to proof-of-concepts or prototype development.</li><li>
Seeking strategy-only, advisory, or non-technical leadership roles.</li></ul>
Application Requirements
To be considered, please provide examples of deployed AI solutions, such as:<ul><li>
Live demos</li><li>
Case studies</li><li>
Architecture walkthroughs</li><li>
Technical presentations</li><li>
Videos or documentation showcasing production AI implementations</li></ul>
Please include details on the business problem solved, technologies used, deployment approach, and measurable business impact.</div>

Senior AI FDE - Contract - NYC Tri-State Area - Hybrid

HCLTech

City Of London, England
 Job Summary
 
Job Title: Forward Deployed Engineer (FDE), Gemini Enterprise
 The FDE is a hybrid of a Staff Software Engineer and a Strategic Consultant. You will be the technical lead responsible for deploying Gemini Enterprise App and Gemini Enterprise Agent Platform within client environments. You will architect and code the "connective tissue" that allows Gemini agents to reason across private enterprise silos, execute long-running workflows, and adhere to strict corporate governance.
 
Key Responsibilities
 
Key Responsibilities
 <ul>
<li>Agentic Architecture: Design multi-agent systems using the Agent Development Kit (ADK), implementing patterns like hierarchical delegation and self-reflection.</li>
<li>Production Implementation: Move beyond prototypes. You will write the production code that integrates Gemini agents with legacy APIs, SQL/NoSQL databases, and ERP systems (SAP, Salesforce, etc.).</li>
<li>The "Grounding" Expert: Build and optimize RAG (Retrieval-Augmented Generation) pipelines using Vertex AI Search and BigQuery, ensuring agents have "zero-hallucination" access to enterprise truths.</li>
<li>Governance & Security: Deploy Agent Identity and Agent Gateway protocols to ensure every AI action is auditable, secure, and compliant with regional data residency laws.</li>
<li>Field-to-Product Loop: Act as the "eyes and ears" for Google’s core engineering. Identify common friction points in the Agent Platform and collaborate with product teams to build reusable "Skills" and modules.</li>
</ul>
Skill Requirements
 
Technical Requirements
 Domain Stack Expertise
 AI/ML Platform Gemini 3.0, Gemini Enterprise Agent Platform, Agent Studio, Vertex AI
 Engineering Python (Advanced), Go or Java, TypeScript, REST/gRPC APIs
 Data Architecture BigQuery, Vector Search, AlloyDB, Apache Beam / Dataflow
 Orchestration Agent Development Kit (ADK), LangGraph-native patterns, Kubernetes (GKE)
 Ops & Eval Agent Evaluation (Auto-SxS), Agent Observability, CI/CD for LLMs
 
#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-

AI Solution Architect I

RS UK

Since 2015, RS has been committed to supporting some of the biggest names in video games such as World of Warcraft, Marvel Rivals, etc to global success in the fields of advertising and marketing. With a reach which spans up to 600 million gamers across China and beyond, today we expand user bases and market share by providing the following services:<ul><li>Ad strategy</li><li>Brand advertising</li><li>Performance-based advertising</li><li>Influencer marketing</li><li>Creative production</li><li>Live streaming</li><li>Overseas distribution</li></ul>We are hiring a founding Forward Deployed Engineer (FDE). You will be the founding member of our London-based Forward Deployed Engineering (FDE) team, building the internal systems, data infrastructure and AI-enabled workflows that power our gaming marketing operations. This role will work closely with strategy, media buying, client services, and creative teams to turn business needs into practical software solutions. The ideal candidate is both technically strong and commercially aware. You should understand how gaming marketing campaigns are run, how performance is measured, and how to design tools that help the team make faster, better decision.Key responsibilities:<ul><li>Design, build and maintain internal tools, dashboards, and automation that support marketing analysis and campaign operations</li><li>Integrate and process data from platforms, such as Reddit, Discord, TikTok, Meta, Google and other relevant sources</li><li>Develop monitoring and alerting systems that identify creative performance issues, audience sentiment shifts, and campaign risks early</li><li>Partner with media buying teams to build reporting frameworks and KPI logic for matrics e.g. CPI, CPM, CPC, CTR, and ROAs, and retention</li><li>Work with non-technical teams to understand business problems and convert them into clear technical requirements</li><li>Develop AI-assisted workflows for data interpretation, alerting, classification and reporting</li><li>Maintain documentation, improve internal processes, and ensure tools are reliable and scalable</li><li>Collaborate with stakeholders to test, refine, and roll out solutions across live campaigns</li><li>Feed operational insights back into product and engineering improvements</li></ul>Required skills and experience<ul><li>Strong expereince in software engineering, data engineering, full-stack development, or related technical roles</li><li>Proficiency in Python, SQL and API integration,and modern data tooling</li><li>Experience building internal tools, dashboards or workflow automation systems</li><li>Strong understanding of analytics, data pipelines and automation</li><li>Ability to communicate effectively across technical and non-technical teams</li><li>Comfortable working in a fast-paced environment with evolving priorities and ambiguous requirements</li><li>Strong problem-solving skills and attention to detail</li></ul>Preferred experience<ul><li>Experience in gaming, digital marketing, performance marketing, influencer marketing or creator ecosystems</li><li>Familiarity with social media or community platforms</li><li>Experience with AI tools, LLM workflows, or machine learning-assisted automation</li><li>Understanding of creative testing, media optimisation and campaign measurement methodologies</li><li>Experience building experimentation, monitoring, or decision-support systems</li></ul>Pay: From &pound;55,000.00 per yearWork Location: In person

Forward Deployed Engineer

<div>Req ID: CSQ127R149
Location: London, United Kingdom - Hybrid
Recruiter: Dina Hussain
We&rsquo;re hiring for multiple roles within our FDE team.
As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.
The impact you will have:
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul>What we look for:
<ul><li>Experience in data engineering, data platforms &amp; analytics, or software engineering / full stack development</li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification - an advantage</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Senior Forward Deployed Engineer

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