Enterprise Data Architect Jobs

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a strategic ABM leader to build and elevate Elastic's account-based marketing practice as a part of our Executive and ABM Marketing Programs team. This is a player-coach role - you're accountable for your team's collective results while architecting the center of excellence, governance, tooling, and enablement that scales ABM across the entire organization. You'll define what great ABM looks like at Elastic, develop the marketers who deliver it, and ensure the broader GTM org understands how to adopt ABM principles. You'll partner closely with Executive Programs to turn our highest-value accounts into executive relationships, pipeline, and revenue. What You Will Be Doing Center of Excellence & Governance Define Elastic's ABM vision, playbooks, and maturity roadmap across 1:1, 1:few, and 1:many motions Establish governance: account selection criteria, tier methodology, ICP scoring, and cross-functional working norms Build and maintain the ABM knowledge hub - ensuring plays, findings, and procedures are detailed and accessible Be responsible for the ABM tech stack - ensuring adoption, correct configuration, and significant return on investment Leadership & Coaching Lead, mentor, and develop a team of ABM managers — owning their growth, performance, and everyday execution quality Serve as Elas

Yext (NYSE: YEXT) is the enterprise agentic marketing platform. Built on the world's most comprehensive structured data platform for local businesses, Yext gives brands and their partners the visibility intelligence to win every moment of discovery – across AI and traditional search. Yext's API-first architecture connects structured data to APIs, MCP servers, and generative interfaces, so partners and developers can build purpose-built experiences on the same infrastructure powering Yext's own products. Thousands of brands and digital marketing partners in financial services, healthcare, retail, hospitality, and food rely on Yext to manage, measure, and optimize visibility at scale. For more information, visit yext.com . We are looking for a Senior Customer Success Manager, Enterprise, to drive adoption and maximize the value of the Yext platform with a strong commitment to learning. You will be responsible for partnering with enterprise customers, understanding their priorities and pain points, and ensuring that they optimize their Yext investment. CSMs play an integral role in our business, working closely with sales, solution engineers, product management, and GTM teams. What You’ll Do Manage a portfolio of assigned customers, with a focus on increasing adoption, ensuring retention and growth, and overall customer satisfaction Be a trusted Partner: Build and maintain strong relationships with Yext customers, serving as their primary point of contact for all post-sales activities. Work with Yext Support, Product Management, Services, and GTM teams to share customer feedback and act as an internal advocate for our customers Be an expert on the Yext platform and products Drive Adoption and Optimization: Partner with customers to develop and execute strategic success plans, aligning Yext solutions with their business objectives and goals. Conduct regular reviews, provide progress updates related to reactive issues and proactive customer initiatives,

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 an Insider Risk Security Engineer to join our team. This is a Remote (United States) role, reporting to the Senior Architect in the Enterprise Security Dept department. Serving as a senior contributor on the Insider Risk program within Enterprise Security, you will take operational direction from the Insider Risk Team Lead while operating with high ownership to refine playbooks, lead detection engineering, mentor junior analysts, and represent the team with HR, Legal, and executive stakeholders. What you’ll do (Role Expectations) Sharpen the Insider Risk Program’s detection capabilities by refining rules to reduce noise, close coverage gaps, and surface high-fidelity alerts in adequate time Perform endpoint and user activity investigations using EDR/XDR, UEBA, and SIEM tools, managing cases end-to-end to create factual timelines Drive the development and iteration of insider Risk investigation playbo

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About Snowflake Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. This role requires in-person attendance in our Pune office at least 3 days per week. Job Description We are looking for an Analytics Engineer to join our growing Finance Analytics Engineering team. In this role, you will drive value and empower decision-making by developing and maintaining the data infrastructure which fuels reporting and analysis for the Finance organization and has a direct impact on Snowflake’s success as a company. As an Analytics Engineer, you will be responsible for the following: Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation Perform data QA and develop automated testing procedures for use with S

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic, the Search AI Company, is looking for a Principal Product Manager to guide the vision, strategy, and execution for the Elastic Agent Builder. As organizations shift from traditional data retrieval to autonomous, agentic workflows, the Agent Builder serves as the critical context layer that enables users to make Agents faster, lower cost, and more accurate. In this high-impact role, you will be responsible for defining how enterprises build, manage, and scale context for AI agents. You will work at the cutting edge of the AI ecosystem, working with senior leadership and partnering with hyperscalers and evangelizing our solutions to a global community of AI developers. What You Will Be Doing Work directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, clarify product needs Build, socialize and align a roadmap for core context engineering capabilities built on top of Elastic powered retrieval and relevance for AI Agents Deeply understand the AI Agent market, major players, trends and how it may impact our strategy Work directly data science and engineering to build out the strategy for benchmarking and evaluations of agent capabilities Work with design to build user experiences that address gaps in how agents show and refine context a

The Senior Integration Developer plays a critical role in leading complex and multidisciplinary iPaaS integration projects. In this role, you will partner with our consulting team to design, implement, and deploy data-centric solutions for clients across multiple industries and platforms. This position requires deep expertise in MuleSoft Anypoint and integration architecture, along with the ability to lead solution design discussions, guide project execution, and mentor junior developers. As a senior technical contributor, you will take ownership of complex integration solutions, facilitate technical discovery with clients, and ensure scalable, maintainable integration architectures. You will act as a trusted technical advisor to both internal teams and client stakeholders while driving best practices in integration design, development, and delivery. Responsibilities: Lead the design, development, and implementation of complex integration and API solutions using MuleSoft Anypoint Platform. Translate business requirements into scalable technical integration architectures and implementation strategies. Facilitate discovery sessions and technical workshops with clients to understand system landscapes, integration requirements, and data flows. Own complex integration solutions from design through deployment, ensuring high performance, scalability, and maintainability. Develop and implement integration patterns, APIs, middleware components, and orchestration logic using MuleSoft Anypoint middleware. Analyze source system data and conduct data mapping exercises to support migration and integration initiatives. Design and implement both real-time and batch integrations across cloud and enterprise systems. Lead development of custom code and complex functionality using MuleSoft, DataWeave, and supporting technologies. Develop best practices, reusable integration components, and design patterns for interfaces, APIs, rule engines, and middleware. Drive complex technical desig

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic, the Search AI Company, is looking for a Principal Product Manager to guide the vision, strategy, and execution for the Elastic Agent Builder. As organizations shift from traditional data retrieval to autonomous, agentic workflows, the Agent Builder serves as the critical context layer that enables users to make Agents faster, lower cost, and more accurate. In this high-impact role, you will be responsible for defining how enterprises build, manage, and scale context for AI agents. You will work at the cutting edge of the AI ecosystem, working with senior leadership and partnering with hyperscalers and evangelizing our solutions to a global community of AI developers. What You Will Be Doing Work directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, clarify product needs Build, socialize and align a roadmap for core context engineering capabilities built on top of Elastic powered retrieval and relevance for AI Agents Deeply understand the AI Agent market, major players, trends and how it may impact our strategy Work directly data science and engineering to build out the strategy for benchmarking and evaluations of agent capabilities Work with design to build user experiences that address gaps in how agents show and refine context a

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . EAA Integrations builds scalable automation that connects systems, streamlines business processes, and unifies data across the enterprise. We create integration assets and APIs that improve developer productivity and help teams integrate complex systems efficiently. As our Enterprise Integration team grows, we’re hiring a Workato Developer / Workato Architect with experience building and governing automation at scale. In this role, you will design Workato recipes, frameworks, and connectors while applying integration patterns and platform standards. You will partner with business units and engineering teams to translate requirements into reliable, scalable solutions and ensure integrations run smoothly in production. Reporting to the Manager of Engineering (Integrations), you will help drive automation strategy and strengthen Workato platform excellence across Coinbase. What you’ll do: Design, build, and maintain integrations across enterprise applications using Workato, custom connectors, and automation frameworks. Architect scalable automation solutions and solve complex integration challenges using patterns, governance, and best practices. Integrate Workato workflows with AI and LLM services to support decision-making, content generation, and data enrichment. Build frameworks for incorporating LLMs into business processes with secure and scalable usage. Partner wi

About the role As Revenue Operations Manager for Enterprise GTM, you will own the measurement layer of our go-to-market engine. You will be the key to what is in the pipeline, what is converting, what is slipping, and, most importantly, why, and the . Your primary customers are our enterprise new logo and expansion teams across healthcare and life sciences, financial and professional services, TMT and energy, and public sector. We treat go-to-market as an engineered system. Architecture and design sit with the Director you report to. Instrumentation, measurement, and diagnosis sit with you. This is an individual contributor role with a wide mandate and real exposure. You will not manage a team. You will own numbers that go to the VP of Enterprise GTM, the executive staff, and the board. What you'll do Own the enterprise reporting layer Build and maintain dashboards that give real-time visibility into pipeline health, stage conversion, sales velocity, coverage ratios, and attainment against plan, cut by vertical, segment, and rep. Establish a single agreed definition for every core metric (pipeline created, qualified pipeline, coverage multiple, win rate, cycle time, ACV, committed vs. consumed) and defend it. One number, one source, one definition. Report bookings, recognized revenue, and consumption as the distinct measures they are, and make the bridge between them legible to people who do not live in the model. Run the operating cadence: weekly pipeline reviews, forecast calls in Salesforce and Clari, MBRs, QBRs, and the enterprise section of board reporting. Build stakeholder-specific, self-serve views so vertical leaders, sales development, and partnerships can answer their own routine questions without opening a ticket with you. Turn the data into insight Answer the hard "why" questions, e.g., why Stage 3 conversion dropped in financial services, which sourcing motions produce the highest-ACV enterprise deals, where multi-year agreements stall in legal

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . ML Platform & Infrastructure Team The Machine Learning Infrastructure & Platform team builds the foundational architecture powering AI and GenAI initiatives across Wealthsimple. We sit at the intersection of production MLOps and cutting-edge GenAI enablement. As our AI footprint expands rapidly, our priority is evolving our robust MLOps foundations into a scalable, high-performance LLM serving and routing platform. We build self-serve systems that allow Data Scientists and Engineers to host open-source LLMs reliably, optimize inference latencies, manage GPU infrastructure, and benchmark model performance safely in production. The Role We are looking for an experienced MLOps or ML Platform Engineer who is excited to pivot their deep background in model orchestration, serving, and platform tooling toward solving the unique challenges of LLM inference and infrastructure . In this role, you will bridge the gap between traditional MLOps (model lifecycles, pipeline orchestration, serving infrastructure) and modern GenAI stack requirements (vLLM, GPU cluster management, intelligent model routing, and automated Evals). You will take end-to-end ownership of setting the technical direction for operating enterprise-grade LLM systems company-wide. In this role, you will have the opportunity to: Turn MLOps expertise to GenAI: Transition traditiona

Who We Are Artefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. We are present in 27 countries across all continents with a team of 2,500 employees and offer the most comprehensive set of AI & data solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. From strategy to operations, we partner with 1000+ clients, including some of the world’s top 300 brands. The Role Artefact is looking for a Manager, Forward Deployed Engineering , specialized in Gemini Enterprise and the Google AI stack: a hands-on technical leader who owns the delivery of AI products for our clients, from architecture through production, while building and leading the team of engineers who build them. You will split your time between technical leadership and people leadership. You set the technical direction for one or more client engagements, stay close enough to the code and architecture to make good calls under pressure, and are the senior escalation point when things get hard — technically or with the client. At the same time, you manage a team of Deployed AI Engineers: their staffing, their growth, their day-to-day delivery, and their development into the next generation of technical leads. This role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the leadership skills to run a delivery team and manage senior client relationships. What You'll Do Lead Delivery of Full-Stack AI Applications Own technical delivery across one or more client engagements: architecture decisions, technical risk, and quality bar. Set direction on interface design (TypeScript/React), backend services (Python or Node), and the agentic and retrieval systems underneath. Review and unblock your team's work on orchestration, tool/function calling, memory, guardra

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity As the Manager, GTM Engineering (AI and Automation), you will be key to constructing and maintaining our "Revenue Velocity" engine with a specialized team of architects. In this high impact role, you will report to the Director of Enterprise Systems & Solutions. You will be responsible for the successful technical integration of advanced AI and automation tools throughout our Go-To-Market (GTM) technology stack. This role requires a proactive player-coach who balances thinking strategically about our revenue systems while remaining deeply involved in the creation of durable, data-driven automation frameworks. What you'll do GTM Tech Stack Management: Integrate with and optimize the core Sales and Marketing technology stack (Salesforce, Clay, Rox, Boomi, Salesloft) in alignment with customer-centric initiatives. Workflow & AI Automation: Execute end-to-end automated workflows (lead scoring, routing, alerts) and deploy AI/ML solutions to scale business outreach efficiency. Data Integrity & Analytics: Manage data pipelines and routine hygiene (deduplication, enrichment) across systems; maintain dashboards to track key GTM metrics and deliver forecasting to leadership. Process Execution & Enablement: Work with Program teams to map GTM workflows and drive technical projects from requirements gathering through implementation and user adoption. This role requires 2+ years of people management or relevant leadership experience, such as lead

REQ ID: FEQ427R375 Mission: As the Director of Field Engineering, you will be responsible for partnering with our enterprise Consumer Packaged Goods (CPG) and Retail customers to democratize Data and AI within their organizations, leveraging Databricks solutions and expertise to address their most critical business challenges. Reporting to the Tech GM of Field Engineering for Retail & Consumer Packaged Goods (CPG), the Director, Field Engineering will lead a team of pre-sales Managers and Solutions Architects focused on acquiring new customers and expanding strategic relationships across the Retail and CPG industry. You will work closely with Sales, Product, Engineering, Customer Success, and executive stakeholders to drive strategy and execution against our ambitious growth goals. You will foster a culture of psychological safety while developing and scaling a high-performing team with expertise in enterprise software, data engineering, analytics, AI/ML, and cloud technologies. Your experience partnering with Sales will help drive complex enterprise opportunities while coaching managers and field engineering teams to deliver exceptional customer outcomes. You will guide your team through strategic engagements, communicate complex technical solutions in terms of business value, support enterprise sales cycles, and build trusted relationships with senior business and technology leaders across the Retail and CPG industry. The impact you will have: Hire and manage first-line Managers and a growing team of technical pre-sales Solutions Architects. Build a collaborative culture within a rapid-growth team. Embody and promote Databricks' customer-obsessed, truth-seeking, diverse culture, and first principles mindset. Develop trusted, long-term executive relationships with customers while maintaining a deep understanding of the Retail and CPG industry, including key business trends, competi