Enterprise Data Architect Jobs

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 This role bridges infrastructure and product engineering: you'll build genuine partnerships across product, AI, and enterprise teams so that ownership is shared and velocity is never blocked by platform constraints. As Director, you'll set a forward-looking cloud vision, proactively align with stakeholders across the business, and ensure the platform scales for multi-shard, multi-region growth while meeting security and compliance commitments (SOC 2, business continuity/disaster recovery, and enterprise security frameworks). The Role: Cost Efficiency: Drive significant annual infrastructure savings by migrating data workloads to EKS and self-hosting key services such as OpenSearch. Ingress Convergence: Deprecate legacy frontend ALBs and consolidate to a single EKS-managed ALB per shard, unblocking faster deployments across the org. Coverage & Bench Depth: Eliminate single points of ownership across Networking, OpenSearch, and Terraform through cross-training and targeted hiring into coverage gaps. Stakeholder Alignment: Stand up a recurring alignment cadence with Product, AI, Enterprise, and Security so infra planning is driven by demand, not ad-hoc interrupts. Automation: Ship automated shard buildout via Backstage to remove manual toil from enterprise scaling. Reliability: Cut P0/P1 incidents attributed to Cloud Platform (DNS, ALB misconfiguration) through hardened ingress patterns and Terraform-policy guardrails, including blocking unauthenticated public endpoints. Roadmap Ownership: Deliver a roadmap covering Agent enablement, centralized IaC, and deployment rollout acceleration, tied to AI and

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Accelerate your career by joining Okta, the World’s Identity Provider, as a member of our Cybersecurity & Privacy Legal team. We free everyone to safely use any technology — anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. As Director, Corporate Counsel – Privacy, you will lead a global privacy legal team, reporting to the Senior Director, Corporate Counsel, Cybersecurity & Privacy, and help grow and mature a scalable global privacy practice. You will provide supervision and guidance on privacy and data protection issues at a high-growth, publicly-traded enterprise software company. You will work on cutting-edge projects in a cloud-first, SaaS environment where you can apply your experience providing strong legal support to help Okta deliver world-class products to our thousands of global customers. Responsibilities: Lead and develop a team of talented, high-performing privacy legal professionals and serve as a point of escalation, providing privacy and data protection legal expertise to executives, cross functional leaders and other stakeholders throughout the organization. Provide advice and guidance to Okta Security, Engineering, Product, executives and other stakeholders on compliance with applicable privacy and data protec

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp is the all-in-one productivity platform that brings tasks, docs, chat, AI, and workflows together so teams can move faster with less friction. We’re hiring a Manager, Technical Account Management to lead a team supporting mid-market to enterprise customers across AMER. This role exists because our customers need a leader who can raise team execution, create clarity across onboarding, adoption, expansion, and renewal motions, and help translate customer complexity into repeatable, scalable outcomes. The mission of this role is to lead a high-performing Technical Account Management team that helps customers realize fast value, deeper adoption, durable retention, and thoughtful expansion through a disciplined, data-driven, AI-augmented customer engagement motion. What you’ll own Lead, coach, and develop a team of Technical Account Management / post-sales customer leaders supporting mid-market to enterprise accounts across AMER. Build a high-accountability operating rhythm with clear goals, performance expectations, coaching cadences, and KPI visibility across the team. Ensure strong execution of the customer engagement process across onboarding, adoption, expansion, and renewal-risk moments so customers get consistent, high-quality support. Use customer health signals, adoption data, renewal timing, and account context to help the team prioritize well, intervene early, and focus effort where it will have the greatest impact. Lead or contribute to renewal strategy reviews, deal reviews, and executive business reviews that connect customer activity to business value, retention, and growth. Partner c

MongoDB seeks an experienced Software Engineer to help level up IT and launch a new engineering team. This team will work alongside the Internal Engineering department, building enterprise-grade software to enable coworkers to be more effective and efficient. As a Software Engineer, you’ll be contributing to internal tools and platforms, helping design, build, and maintain software that supports critical workflows across the organization. Our ideal candidate Has 2-5 years of professional software engineering experience Experience with a modern programming language (Python, Go, Rust, etc.) Excellent communication skills and a strong desire to solve complex technical problems Comfortable working with modern infrastructure and delivery systems, including containerized applications, Kubernetes, and CI/CD tooling (e.g., Drone.io or similar) Collaborative, detail-oriented, and passionate about developing usable software Bonus Round Experience building full-stack applications, from front-end UIs to backend API handlers to DB migrations Knowledge of any of the following technologies: Next.js, FastAPI, React Position Expectations Build and maintain internal tools and platforms to improve workflows and efficiency Write clean, maintainable code to fix bugs and add new features Collaborate with other engineers and teams to prioritize work and deliver high-impact solutions Success Measures In three months, gain familiarity with internal platforms and workflows, contributing meaningfully to ongoing projects In three months, reduce manual friction for internal processes by delivering functional features or improvements In six months, implement tooling or enhancements that significantly improve internal engineering efficiency and productivity About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with

About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. About the Team: Data is at the core of Outreach's strategy. It drives us and our customers to the highest levels of success. We use it for everything from customer health scores and revenue dashboards to operational metrics of our AWS infrastructure, to helping increase product engagement and user productivity through natural language understanding, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to deeper understand our customers’ needs and deliver new products and features to help continuously improve their customer engagement workflows. The mission of the Data Science team is to enable such continuous optimization by reconstructing customer engagement workflows from data, developing metrics to measure the success and efficiency of these workflows, and providing tools to support the optimization of these workflows. As a member of the team, you will work closely with other data scientists, machine learning engineers, and application engineers to define and implement our strategy for delivering this mission. Your Daily Adventures Will Include: Key Responsibi

About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. About the Team: Data is at the core of Outreach's strategy. It drives us and our customers to the highest levels of success. We use it for everything from customer health scores and revenue dashboards to operational metrics of our AWS infrastructure, to helping increase product engagement and user productivity through natural language understanding, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to deeper understand our customers’ needs and deliver new products and features to help continuously improve their customer engagement workflows. The mission of the Data Science team is to enable such continuous optimization by reconstructing customer engagement workflows from data, developing metrics to measure the success and efficiency of these workflows, and providing tools to support the optimization of these workflows. As a member of the team, you will work closely with other data scientists, machine learning engineers, and application engineers to define and implement our strategy for delivering this mission. Your Daily Adventures Will Include: Key Responsibi

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 The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

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 The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

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 The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

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 The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

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 The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

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 The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview Post-training is how Harvey turns expert feedback and agent traces into models that are meaningfully better at legal work. We are looking for a research engineer who can help scale that loop: defining and running model training experiments, interpreting results, and working with internal and external research partners to build better data, environments, graders, and training recipes. This role is for someone who can self-manage model training and applied research projects. You will work closely with internal and external research collaborators on post-training efforts that matter to our product roadmap. The ideal candidate has extensive hands-on experience training open weight models, either in a research or production setting, and enough engineering depth to run and d

Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered. Our technology enables organizations to move faster while maintaining the governance, accountability, and control required in highly regulated environments. Our portfolio includes Zafin AIOS , an agent orchestration platform for governed AI work; the Zafin Banking Platform , which helps banks modernize product, pricing, offers, billing, loyalty, and relationship management; and Zafin IO , an integration platform that connects data, systems, and workflows across complex enterprise environments. Headquartered in Toronto, Canada, Zafin partners with leading financial institutions across North America, Europe, the Middle East, Africa, and Asia-Pacific. As AI transforms the future of financial services, we're building the platforms that help regulated organizations adopt AI responsibly and at scale. What’s the Opportunity? The Cloud Support Analyst III is a senior techno-functional support professional who diagnoses and resolves complex application issues across production and non-production environments. By developing deep expertise in assigned products, including their features, integrations, and operating environments, the analyst serves as a subject matter expert for clients and internal teams. The role partners with clients, business stakeholders, engineering teams, and implementation partners to support incident resolution, integration testing, deployments, configuration, enhancements, and operational improvements. It also strengthens team capability by identifying knowledge gaps, leading regular knowledge reviews, and ensuring support documentation remains accurate, accessible, and up to date. What Will You Do? Build and maintain deep knowledge of assigned products, including their functions, features, integrations, configurations, and dependencies. Serve as the subject matter expert for assigned products, advising clients, support teams

JOB TITLE Software Engineer, Controller’s Technology A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO As a software engineer on the Controller’s Technology team, you will use your programming expertise to design, develop, and support ETL, data warehouse, process flow, PnL validation and adjustment tools, and PnL reporting framework to modernize the PnL reporting platform and streamline the business process. Build analytical tools on a next generation technology platform to facilitate understanding of performance for Firm management and portfolio managers as well the reporting requirements of our Finance, Operations, Audit, and Technology functions. Develop quantitative understanding of PnL process and data flow to anticipate new requirements Innovate and improve our capabilities to deliver high quality products to our business partners Solving complex and challenging problems through the application of creative and unique solutions using the latest technology WHAT’S REQUIRED Strong data engineering, analytics, ETL and reconciliation skills using T-SQL, Python, Airflow etc. Bachelor’s in computer science, or related technical field with 5 years of programming experience End-to-end system design, development, support, and user coordination experience Strong development skills using Python, or C#. Strong data visualization skills using JS/React etc. A plus to have prior experience in financial industry working with Risk, valuation