Azure Senior Data Cloud Architect Jobs

SLSQ327R347 Databricks is seeking a Lakebase Sales Specialist to help customers modernise their operational data foundation with Databricks Lakebase , our fully-managed Postgres offering for intelligent applications . This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications , helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have: Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team Lead with outcomes for key Lakebase personas, including platform teams and developers , data teams , and central IT, articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency Sell the value of fully-managed Postgres for intelligent applications , positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences Run complex sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks,

OVERVIEW The Data Engineer II will work closely with clients and provide technical consulting services, configuration of the elluminate platform, development for specific projects that include trial configuration, quality control, process improvements, system validation, custom analytics development, clinical software implementations and integrations. platform configuration, ETL and custom analytics development. The Data Engineer II will engage in technical development and implementation of various software service delivery related activities. As a Data Engineer II, you will play a crucial role in providing high-level technical consulting services and configuring the elluminate® platform. You will oversee specific projects, including trial configuration, quality control, and project management. KEY TASKS & RESPONSIBILITIES ➢Collaborating closely with clients to deliver technical consulting services and configure the elluminate® platform. ➢Guiding and supporting the team of data engineers on various technical service delivery activities. ➢Designing, developing, testing, and deploying efficient SQL code to support SDTM, custom reports, and visualizations using tools like MS SQL, elluminate® Mapper, and Qlik. ➢Providing technical guidance, training, and support to team members and users on processes, technology, and products. ➢Managing multiple timelines and deliverables for single or multiple clients, and handling client communications as assigned. ➢Possessing in-depth knowledge of at least one Elluminate module, with hands-on experience in all other modules. ➢Delivering proactive technical support for all client-reported support tickets. ➢Facilitating client onboarding workshops and conducting training sessions for end users on the Elluminate platform. ➢Configuring, migrating, and supporting the elluminate® platform for assigned clients. ➢Creating and maintaining all required specifications and quality control documents as per SOP and processes. CANDIDATE’S PROFI

OVERVIEW The Data Engineer II will work closely with clients and provide technical consulting services, configuration of the elluminate platform, development for specific projects that include trial configuration, quality control, process improvements, system validation, custom analytics development, clinical software implementations and integrations. platform configuration, ETL and custom analytics development. The Data Engineer II will engage in technical development and implementation of various software service delivery related activities. As a Data Engineer II, you will play a crucial role in providing high-level technical consulting services and configuring the elluminate® platform. You will oversee specific projects, including trial configuration, quality control, and project management. KEY TASKS & RESPONSIBILITIES ➢Collaborating closely with clients to deliver technical consulting services and configure the elluminate® platform. ➢Guiding and supporting the team of data engineers on various technical service delivery activities. ➢Designing, developing, testing, and deploying efficient SQL code to support SDTM, custom reports, and visualizations using tools like MS SQL, elluminate® Mapper, and Qlik. ➢Providing technical guidance, training, and support to team members and users on processes, technology, and products. ➢Managing multiple timelines and deliverables for single or multiple clients, and handling client communications as assigned. ➢Possessing in-depth knowledge of at least one Elluminate module, with hands-on experience in all other modules. ➢Delivering proactive technical support for all client-reported support tickets. ➢Facilitating client onboarding workshops and conducting training sessions for end users on the Elluminate platform. ➢Configuring, migrating, and supporting the elluminate® platform for assigned clients. ➢Creating and maintaining all required specifications and quality control documents as per SOP and processes. CANDIDATE’S PROFI

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising , you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com SDE II - Data Platform - Lucknow Mission Contribute to building a self-serve Data Platform-as-a-Product enabling scalable, reliable, and easy-to-use data infrastructure across batch and st

What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Security Operations Center Location: Remote, US (West Coast) Compensation Range: $100,000-$125,000 base plus bonus and equity. This role may be eligible for on-call/call-in pay in addition to base pay *The initial training period for this position will be Monday-Friday. Following training, the work schedule is subject to change and may include weekend or a 4x10 shift, depending on business requirements* What You’ll Do: Huntress is looking for a Security Operations Center Analyst to add to our growing team. In this role, you will get to triage, investigate, respond, and remediate a variety of intrusions on a daily basis. You’ll be surrounded by passionate individuals who are mission-driven to help protect companies around the world from cyberattacks and will have daily opportunities to progress your analyst skillset and accelerate yo

SLSQ327R341 Databricks is seeking multiple Lakebase Sales Specialists (Central) to help customers modernize their operational data foundation with Databricks Lakebase , our fully-managed Postgres offering for intelligent applications . This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications , helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. This role is based in Munich, Germany (flexible within Germany for the right candidate), and will cover customers in the Central region (Germany, Switzerland, Austria, Eastern Europe). The impact you will have Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. Lead with outcomes for key Lakebase personas — including platform teams and developers , data teams , and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. Sell the value of fully-managed Postgres for intelligent applications , positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style wo

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm values security as being critical to the company’s continued success. Our mission is to cultivate a culture of security at Affirm, enabling the company to succeed in building honest financial products. The Security Risk Management team is evolving beyond traditional governance, risk, and compliance; we are building an engineering driven program that designs, automates, and scales the controls, workflows, and tooling that protect Affirm and our customers. The ideal candidate will design, develop, configure, and implement solutions to complex technical and business problems across the Security Third Party Program and the broader Security Risk Management program. They are equally comfortable shaping policy and shipping automation using modern tooling (Python, Cursor, Claude, and other agentic coding platforms) to replace manual GRC work with scalable, code-defined workflows. They will operate as a subject matter expert, interface with business and engineering stakeholders, and play a key role in transforming Security Risk Management from a compliance oriented function into a security engineering discipline. What You'll Do Lead and mature Affirm's Security Third Party Program, including the design, implementation, and continuous improvement of processes, controls, and operational workflows Build and maintain automation that replaces manual GRC tasks: intake, triage, evidence collection, control validation, tracking, escalations, and reporting, using either Python, low code platforms, and agentic coding tools (Cursor, Claude, etc.) Design and operate workflow orchestration and integrations across systems like ticketing, GRC platforms, vendor management tools, identity providers, and cloud control planes Partner closely with Procurement, Legal, Engineering, IT, Compliance, Privacy, and bus

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insi

P-1388 As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution. Mission Lead and scale a world-class AI-first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise-scale Data and AI workloads. Build AI-enabled support workflows and reusable automations to improve resolution speed and support quality. Use Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root-cause analysis safely. Create reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams. Ensure strong AI governance, customer data safety, validation practices, auditability, and human-in-the-loop controls. Partner with Engineering and Product teams to drive AI-first support innovation and operational excellence. Outcomes Drive AI-first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience. Partner with Engineering and Product teams to operationalize AI-assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers. Build and scale reusable AI-enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organization. Lead and manage Technical Solutions Engineers, Team Leads, and support operations personnel across AMER support functions based ou

Welcome systems thinkers. System builds software to help the world see and solve anything as a system, starting in healthcare. We are a Public Benefit Corporation driven by purpose and shaped by values. We hire systems thinkers who are motivated by our purpose, share our values, and have the skills to advance our mission. At System, engineers own, design, and deliver highly scalable software alongside a world-class team — and we are always interested in meeting people ready to make an impact on the future of science and data. As a Software Engineer at System, you will: Collaborate with cross-functional teams to design, implement, and maintain scalable software systems Build resilient infrastructure for serving data at scale and with high availability Drive technical planning and contribute to the overall engineering strategy Develop and maintain continuous integration and deployment processes Work on innovative solutions for advanced and challenging data and systems problems Contribute to code reviews, unit testing, and development strategies in an agile environment Influence culture, recruit new engineers, and help shape a rapidly growing startup The ideal candidate has: Bachelor's or Master's degree in Computer Science, Engineering, or a related field 3+ years of experience in software engineering Strong experience with at least one modern programming language such as Python, TypeScript, or Go Experience designing and building REST APIs or distributed systems A deep understanding of systems design, data structures, and algorithms Knowledge of cloud infrastructure (AWS, GCP, or Azure) and infrastructure as code Ability to be flexible, rational, and open-minded Bonus if you have: Experience with containerization technologies such as Docker or Kubernetes Knowledge of microservice architecture and design principles Experience deploying, monitoring, and supporting production services Familiarity with data migrations while maintaining service availability E

Welcome systems thinkers. System builds software to help the world see and solve anything as a system, starting in healthcare. We are a Public Benefit Corporation driven by purpose and shaped by values. We hire systems thinkers who are motivated by our purpose, share our values, and have the skills to advance our mission. At System, this means designing the pipelines, platforms, and model-serving systems that power our healthcare data products — reliably, responsibly, and at production grade. As a Data & AI/ML Engineer at System, you will: Design and maintain scalable data pipelines and ETL/ELT workflows Build and operate infrastructure for training, deploying, and serving ML models in production Develop feature stores, vector databases, and other AI-enabling data infrastructure Ensure reliability, low latency, and high availability of data systems Partner closely with Research and Data Science to move findings into production Implement monitoring and observability for data and model health Contribute to infrastructure as code practices and documentation on cloud platforms The ideal candidate has: Bachelor's or Master's degree in Computer Science, Engineering, or a related field 4+ years of experience in data engineering, ML engineering, or a related discipline Strong proficiency in Python and SQL; experience with Spark, dbt, or Airflow a plus Experience building and maintaining cloud data infrastructure (AWS, GCP, or Azure) Understanding of ML lifecycle management, model versioning, and deployment patterns Comfort with systems design principles applied to data-intensive architectures Bonus if you have: Experience with containerization and orchestration (Docker, Kubernetes) Familiarity with knowledge graphs, graph databases, or semantic data models Experience with data migrations while maintaining service availability Background working with clinical or healthcare data Exposure to LLMOps or AI governance frameworks You might be a fit if you: Think i

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. About the Role We're building out the Customer Success Engineering team at Postman, and we need business-minded engineers who can solve real problems at scale. You will partner closely with Customer Success Managers and own the “How” of technical solutioning. This is a consultative role that requires both depth and versatility. This is no support role; you'll be the technical architect of Customer Success, turning complex and nuanced challenges into repeatable solutions that benefit our entire enterprise customer base. As a CSE, you consult on the technical implementation path. When a customer needs to get from point A to point B, you figure out how to make it happen - whether that means architecting workflows within Postman, guiding integrations, or creating pragmatic workarounds when the product doesn't quite fit. A key part of this role is turning individual solutions into reusable assets that shorten time to value for future customers. We don’t believe in reinventing the wheel each time. Success in this role requires a blend of technical expertise, systems thinking, and the ability to translate complex business objectives into

The data management software market is transforming how organisations build and run applications. MongoDB is the leading developer data platform and the first database provider to IPO in more than 20 years. Join us at the forefront of data and application development. MongoDB Technical Services Engineers combine deep technical expertise with exceptional problem-solving and customer-service skills. You’ll advise customers and resolve complex challenges across MongoDB Core, drivers, Atlas, Cloud Manager, cloud platforms, and infrastructure. We’re looking for candidates based in Dublin to join our vibrant office and collaborative in-office team. This is a five-day role with one of the following schedules: Tuesday–Saturday, Sunday–Thursday, or a five-day pattern covering both Saturday and Sunday. Under our hybrid model, employees on weekend schedules are expected to work from the office two days per week. Cool things you’ll do You’ll help customers troubleshoot complex issues and run critical MongoDB workloads with confidence. You’ll: Solve customer challenges across architecture, performance, recovery, and security Lead investigations from diagnosis to resolution, providing clear, actionable guidance Partner with Product Management and Engineering to advocate for customers and improve MongoDB Build tools, documentation, and training while mentoring peers and raising technical excellence What you need We value curiosity, adaptability, strong technical foundations, and a genuine desire to help customers. You should bring many of the following: 5–6 years of experience in technical support, systems engineering, database administration, SRE, or a related field Experience running complex, mission-critical production database systems Strong Linux and systems engineering skills, including performance, memory, I/O, storage, networking, security, clustering, and troubleshooting A solid understanding of networking concepts and protocols, including DNS, TCP/IP, and SSL/TLS Ability

We are looking for a Full Stack Developer to join our growing engineering team. In this role, you will design, build, and operate scalable software platforms that support analytics and AI solutions — owning the full journey from intuitive user interfaces to robust cloud-native backends. What This Involves: Front-End Development Develop and maintain user interfaces for web applications using React and Next.js. Translate wireframes and design mockups into functional, accessible UI components. Identify and resolve front-end performance bottlenecks to ensure smooth user experiences. Write and maintain unit and integration tests for front-end components (e.g. Jest, React Testing Library). Back-End Development Develop and maintain high-quality back-end services and APIs using Python. Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP). Manage containerized applications using Docker and Kubernetes. Contribute to the design and evolution of scalable, cloud-native software architectures. Contribute to and maintain CI/CD pipelines for web and back-end applications. Collaboration and Quality Work closely with data scientists, engineers and project managers to deliver integrated end-to-end solutions. Support the development and deployment of AI and analytics solutions. Write clean, well-documented, and maintainable code across the full stack. Participate in technical discussions, code reviews, and continuous improvement initiatives. Adhere to internal and client-mandated data protection and compliance policies, ensuring all handling, storage, and sharing of data meets required security and privacy standards. Requirements: Bachelor’s degree in Computer Science or related fields. 5+ years of software development experience, with meaningful time on both front-end and back-end systems. Experience designing systems in cloud-native or distributed environments is a plus. Excellent communication and collaboration skills — comfortable working acros

Lakebase Sales Specialist **While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We are hiring for multiple roles.** Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. Lead with outcomes for key Lakebase personas — including platform teams and developers , data teams , and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. Sell the value of fully-managed Postgres for intelligent applications , positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-drive