Reference Data Services Intmd Analyst Jobs

FEQ327R208 While candidates in the listed location(s) in Colorado, are encouraged for this role, candidates in other locations will be considered. At Databricks, our customers challenge us with solving some of the world's toughest data problems. Our customers rely on our Solutions Architect team to understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems. Solutions Architects at Databricks lead the adoption of the Databricks Unified Analytics Platform. As a member of our team, you will sharpen your skills on open-source projects such as Apache Spark™, MLflow, and Delta Lake to advocate the Lakehouse paradigm on public cloud providers. You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through implementations to deliver strategic business value. You will partner with the sales team to build relationships with our customers and establish yourself as a trusted advisor. Databricks' culture thrives on collaboration and teamwork, and you will contribute your knowledge to our teams by participating in our subject matter expert groups. In this role, you will report to the Solutions Architect Leader supporting the specific business segment. If you are a technologist interested in Data and AI, and enjoy prototyping solutions for customers, this role is for you. The impact you will have: Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present reference architectures, technical guides, a

Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale. In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services. You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers. The ideal candidate combines strong cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability. Key Responsibilities MLOps Platform and Architecture Design and implement a scalable MLOps platform using AWS and Databricks. Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models. Build standardized workflows that move models from development and validation into staging and production. Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure. Establish clear separation between development, testing, staging, and production environments. Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives. CI/CD and

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the role This role owns the enterprise and AI segment of Supabase's AWS partnership -- driving adoption among larger, more complex enterprise accounts and AI-native companies building production workloads on Supabase. You'll anchor the enterprise motion around reference customers, build the case for enterprise innovation funding with AWS, and own the relationship with AWS enterprise account teams and Solutions Architects. This is a strategic, quota-adjacent role: you'll be responsible for building enterprise pipeline through AWS co-sell, deepening AWS's confidence in Supabase as an enterprise-ready platform, and supporting Competency and reference programs that unlock further AWS investment. What you'll do Own the AWS enterprise strategy Manage relationships with AWS enterprise account teams, Solutions Architects, and relevant service-line teams (e.g., Database Services) Drive co-sell pipeline for enterprise and AI-native accounts through ACE, working closely with AWS field teams Support AWS Competency designations and reference program management -- coordinating customer references, evidence collection, and renewal timelines Build and maintain enterprise reference narratives (anchor customer stories) used in AWS-facing business cases and exec conversations Represent the enterprise motion and funding discussions, providing pipeline data and account-level detail to support investment asks to AWS Partner with sales leadership to identify strategic enterprise accounts where AWS co-sell can accelerate deals Work with product and product marketing to keep the enterprise/AI product narrative current for AWS SAs and account teams Who you are 4-6+ years in partnerships, alliances, or enterprise b

FEQ327R208 While candidates in the listed location(s) in Colorado, are encouraged for this role, candidates in other locations will be considered. At Databricks, our customers challenge us with solving some of the world's toughest data problems. Our customers rely on our Solutions Architect team to understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems. Solutions Architects at Databricks lead the adoption of the Databricks Unified Analytics Platform. As a member of our team, you will sharpen your skills on open-source projects such as Apache Spark™, MLflow, and Delta Lake to advocate the Lakehouse paradigm on public cloud providers. You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through implementations to deliver strategic business value. You will partner with the sales team to build relationships with our customers and establish yourself as a trusted advisor. Databricks' culture thrives on collaboration and teamwork, and you will contribute your knowledge to our teams by participating in our subject matter expert groups. In this role, you will report to the Solutions Architect Leader supporting the specific business segment. If you are a technologist interested in Data and AI, and enjoy prototyping solutions for customers, this role is for you. The impact you will have: Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present reference architectures, technical guides, a

FEQ426R758 Databricks is seeking a Field Chief Technology Officer (Field CTO) for the Americas Industries Business Unit to be a senior, customer-facing technology and business transformation thought leader for our most strategic, often global, accounts in regulated industries. This individual contributor role sits at the intersection of data and AI strategy, industry transformation, and executive relationship-building, working closely with C-level leaders to drive multi-year change on the data platform while representing real-world needs back into Databricks.​ Impact you will have: Build and maintain trusted-advisor relationships with C-level executives (CIO, CDO, CTO, CISO, business COs) in large US-based and global accounts, especially in highly regulated industries (financial services, public sector, healthcare, manufacturing).​ Proactively cultivate a strong social and professional network across customer executives, boards, key industry bodies, and partners, knowing which organizations and forums to engage to open doors with the right stakeholders.​ Shape executive thinking on modern data and AI architectures, with emphasis on Lakehouse and data platform modernization as the primary lever for long-term Gen AI impact.​ Lead C-level briefings, strategy sessions, and multi-day workshops that connect business outcomes, regulatory constraints, and operating model change to concrete Databricks-based roadmaps.​ Serve as a deep technical counterpart in the field, maintaining L200–L300 proficiency across Databricks products and being able to credibly engage architects, data engineers, and data scientists on solution design and trade-offs.​ Generalize patterns from the field into reusable reference architectures, industry blueprints, and best practices for regulated industries, and share them through blogs, webinars, whitepapers, and conference keynotes.​ Orchestrate the broader ecosystem (cloud providers, GSIs, consultancies, ISVs) around customer objectives, ensuring D

Become a part of our caring community The Principal Storage Engineer is a senior technical leader responsible for defining and advancing the enterprise storage architecture and long-term data infrastructure strategy. This role establishes standards, develops five-year technology roadmaps, and designs secure, resilient, scalable, and cost-effective storage platforms for business-critical, analytics, and artificial intelligence workloads. The engineer serves as the organization’s storage subject-matter expert and partners with infrastructure, cloud, security, data, application, architecture, finance, and vendor teams to translate business requirements into sustainable technology capabilities. The Principal Storage Engineer is a senior technical leader responsible for defining and advancing the enterprise storage architecture and long-term data infrastructure strategy. This role establishes standards, develops five-year technology roadmaps, and designs secure, resilient, scalable, and cost-effective storage platforms for business-critical, analytics, and artificial intelligence workloads. The engineer serves as the organization’s storage subject-matter expert and partners with infrastructure, cloud, security, data, application, architecture, finance, and vendor teams to translate business requirements into sustainable technology capabilities. Key Responsibilities Define the enterprise storage vision, reference architecture, engineering standards, and five-year roadmap across block, file, object, software-defined, and hybrid storage services. Lead architecture decisions for on-premises AI infrastructure, including high-throughput and low-latency storage fo

Principal Software Engineer – AI CoE About Redwood Redwood Software helps the world's largest enterprises automate mission-critical business processes. Our platforms support complex enterprise workloads across ERP systems, business applications, cloud infrastructure, and on-premises environments. Redwood is building reusable AI infrastructure, agentic capabilities, developer tools, and platform services that enable enterprise-ready AI features across its product portfolio. Role Mission As a Principal Software Engineer, you will lead the design and delivery of complex, production-grade AI and agentic capabilities that can be reused across Redwood products. You will solve ambiguous engineering problems, establish standards for reliability and AI evaluation, and contribute to important technical decisions. This is a hands-on role with ownership of significant systems and platform capabilities. Key Responsibilities Design and deliver complex services, agentic workflows, and shared AI platform capabilities. Build multi-step agentic systems that combine reasoning, tool use, retrieval, memory, policy controls, and human oversight. Establish robust approaches for AI evaluation, observability, model selection, fallback behaviour, and failure recovery. Lead technical delivery across multiple contributors and coordinate dependencies with product and platform teams. Review designs and code for scalability, security, performance, reliability, maintainability, and cost. Resolve complex production issues and implement corrective actions that prevent recurrence. Create reusable frameworks, reference implementations, and engineering standards that accelerate development. Partner with Product, Architecture, Security, Data, and Operations teams to translate business problems into durable platform solutions. Evaluate emerging AI technologies and recommend adoption based on technical evidence, enterprise requirements, and business

Software Engineer – AI CoE About Redwood Redwood Software helps the world's largest enterprises automate mission-critical business processes. Our platforms support complex enterprise workloads across ERP systems, business applications, cloud infrastructure, and on-premises environments. Redwood is building reusable AI infrastructure, agentic capabilities, developer tools, and platform services that enable enterprise-ready AI features across its product portfolio. Role Mission As a Software Engineer, you will lead the design and delivery of complex, production-grade AI and agentic capabilities that can be reused across Redwood products. You will solve ambiguous engineering problems, establish standards for reliability and AI evaluation, and contribute to important technical decisions. This is a hands-on role with ownership of significant systems and platform capabilities. Key Responsibilities Design and deliver complex services, agentic workflows, and shared AI platform capabilities. Build multi-step agentic systems that combine reasoning, tool use, retrieval, memory, policy controls, and human oversight. Establish robust approaches for AI evaluation, observability, model selection, fallback behaviour, and failure recovery. Lead technical delivery across multiple contributors and coordinate dependencies with product and platform teams. Review designs and code for scalability, security, performance, reliability, maintainability, and cost. Resolve complex production issues and implement corrective actions that prevent recurrence. Create reusable frameworks, reference implementations, and engineering standards that accelerate development. Partner with Product, Architecture, Security, Data, and Operations teams to translate business problems into durable platform solutions. Evaluate emerging AI technologies and recommend adoption based on technical evidence, enterprise requirements, and business value. Contribute di

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Payroll Responsibilities: Payroll Audits/Processing Perform benefit deduction audits with PlanSource on a quarterly and ad hoc basis (U.S.). Pull and prepare payroll, benefits, and compensation reports upon request from Finance and Total Rewards teams (Global). Conduct various payroll-related audits to ensure data accuracy and compliance (Global). Review payroll audit trails and preview files prior to payroll processing (Global). Provide backup and support coverage for Payroll Specialists during leave or holidays (EMEA and APJ) Support Payroll Analyst with India Payroll Payroll Projects Support global payroll projects as needed. Participate in data review and validation with UKG as part of the Global Payroll Implementation. Organize payroll folders and files to ensure proper documentation and accessibility (Global). Organize, update, and help create instruction manuals, tips, and reference resources. Maintain and update payroll “Toolboxes” for each country. Complete additional payroll-related tasks as assigned (Global). First-Level Payroll & Benefits Support Respond to employee inquiries regarding time-off balances (Global). Assist employees with navigation and basic questions in UKG and the Employee Resource Cent

About the Team Joining Capco means joining an organization that is committed to an inclusive working environment where you are encouraged to #BeYourselfAtWork. Capco ICT RISK is a multi-faceted team focused on the evaluation, strategy definition, and execution of risk-minded solutions for leading organizations across the Financial Services industry. We provide customized results, adapting enterprise risk management strategies to potential cyber pitfalls. Capco has experience assisting financial institutions’ leadership on top cyber security priorities through a team with expertise in financial business processes, strategic advisory, cyber programs and security operations. About the Job As a Governance, Risk and Compliance Consultant ion our ICT Risk team, you will be part of consulting engagements responsible for managing, controlling, and mitigating client’s risk management strategies. You will be a part of teams working in close collaboration with our clients to define their security strategy. You will work alongside industry leaders to gain insight and experience as the practice continues to expand. What You’ll Get to Do Perform reviews of platforms and services to assess cyber risks around security risks such as data leakage and unauthorized access, and design controls to mitigate those risks Design, develop, and implement cybersecurity requirements that allow business requirements to be met with appropriate controls Design and develop cybersecurity policies, standards, and procedures Independently lead teams and projects of varying sizes Develop high-quality content deliverables such as security automation tools, reference security architectures, and white papers to help our consultants, partners, and customers build on the work you deliver What You’ll Bring with You 5+ years of experience in a similar role Interest in a p

Staff Software Integrations Engineer (Fullstack) Position Overview : As a Staff Fullstack Integrations Engineer, you will be a technical North Star for the newly formed internal Integrations team. You aren't just building integrations and plus-ins; you are designing, architecting, and governing the resilient back end services that connect the Showpad platform with leading SaaS ecosystems, and distributed at a global scale. You will partner with product and engineering leadership to bridge the gap between business strategy and technical execution, and be the primary technical gatekeeper, ensuring all backend architectures meet our stringent enterprise standards for security, scalability, and observability. This role is designed for a visionary who balances deep-dive coding with high-level system design and the mentorship of emerging talent. Key Responsibilities: Architectural Stewardship: Author Architecture Decision Records (ADRs) for all major integrations and platform decisions, ensuring alignment with event-driven, asynchronous, and cloud-native principles across the organization. Backend Engineering: Design and build isolated, decoupled microservices in TypeScript and Go that serve as the reference standard for correctness, performance, and maintainability. Frontend Engineering: Define the frontend standards and component architecture for Showpad's integration surfaces — owning patterns for how integration configuration, connection status, and data flows are built across the platform, and ensuring complex backend behaviour translates into experiences that are intuitive and built to last. Cloud Infrastructure: Own infrastructure-as-code practices using AWS CDK across multi-region environments. Make authoritative decisions on data store selection and configuration across DynamoDB and Aurora RDS. Resiliency & Eventing: Build highly idempotent outbound APIs with exponential backoff algorithms. Architect strictly asynchronous webhook ingestion pipelin

MongoDB is seeking a Partner Solutions Architect to focus on our Large Deals exclusively on strategic, high-value pursuits with Global System Integrators (GSIs). This role will lead the technical strategy and execution of complex GSI-led bids, helping MongoDB and its GSI partners develop differentiated solutions and secure large, strategic opportunities. The successful candidate will operate across MongoDB, GSI partners, customers, sales teams, delivery organizations, and executive stakeholders to develop compelling joint solutions, strengthen technical win strategies, and drive successful outcomes for large transformation programs. We are looking for candidates who are based in Bengaluru/Gurugram/Delhi/Hyderabad/Chennai for our hybrid working model. Responsibilities Lead the technical architecture and solution strategy for large, complex, and strategic bids Partner with sales, bid leadership, account teams, product specialists, services, legal, finance, and executive sponsors to deliver coordinated pursuits Develop joint value propositions, solution architectures, technical proposals, statements of work, and bid responses Engage partner architects and delivery teams to validate feasibility, implementation approach, scope, risks, and dependencies Facilitate technical discovery, architecture workshops, solution reviews, demonstrations, proof-of-value activities, and executive presentations Translate customer business outcomes into scalable MongoDB-based architectures and partner delivery models Shape partner-led modernization, migration, cloud, application development, data, analytics, and AI solutions Identify technical risks, competitive threats, delivery constraints, and commercial considerations early in the bid lifecycle Create reusable bid assets, reference architectures, technical content, and best practices for future pursuits Ensure proposed solutions align with MongoDB product capabilities, partner expertise, security requirements, and customer success crit

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Backend Engineer in GitLab’s Platform Enablement organization, you will help make GitLab easier to deploy, validate, and operate across environments. This team is centered on two major areas: Cloud Native deployment guidance and ephemeral environments. You’ll help shape GitLab’s next generation of self-managed deployment guidance as Reference Architectures evolve toward a model based on deployment patterns, workload characterization, component requirements, topology guidance, and scaling principles. You’ll also help improve production-like ephemeral environments so teams can validate changes e

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a Solutions Architect on the Field Engineering team, you will be the trusted technical advisor to enterprise customers across pre-sales and post-sales, for teams running AI and web workloads on Vercel. You will qualify technical fit, design future-state architectures, and run evaluations and proofs of concept before the deal, then guide adoption as lead architect after it, bringing in Professional Services, Developer Success, Product, and Engineering when customers need them. This is a hybrid role based in Austin, New York City, or San Francisco, with three days a week in the office. What you'll do Lead technical discovery with Sales, qualify use cases, and design target architectures for AI agents and web applications on Vercel Own proofs of concept (POCs) and pilots end to end: set success criteria, guide implementation, and document outcomes for executive buyers Build and deliver tailored demos, technical presentations, and workshops for developer and executive audiences Act as lead architect post-sale for strategic accounts, guiding onboarding, reference implementations, and migrations, and tuning performance with Core Web Vitals and observability data Run customer security, compliance, and architecture reviews, and feed recurring field gaps back to Product and Engineering What you need 5+ years experience in a customer-facing technical role such as solutions architect, sales engineer, or platform architect, working with web or cloud platforms Hands-on JavaScript and TypeScript experience, including reviewing production appli

Our MDM team is seeking a Senior Engineer, to join an established engineering team. You will work on our D&B Connect application, a strategic self-service Master Data Management (MDM) platform that enables customers to cleanse, match, enrich, monitor, and manage their first-party data using D&B's Commercial Graph and D-U-N-S®-anchored data assets. This serves as our primary MDM customer-facing platform, accessed via web UI plus CRM, Marketing and Cloud Data Warehouse integrations with planned support for AI-driven headless access through MCP tools. The Senior Engineer will work in a scrum team building highly scalable distributed solutions that enable positive user experiences and measurable business growth. This role will collaborate with business and technical teams to translate business requirements and functional specifications into innovative solutions implementing performant, scalable and maintainable designs. Team Overview Design and evolve enterprise-grade Master Data Management (MDM) platforms powering core business entities (e.g., customers, suppliers, leads, reference data) Address challenges in data quality , identity resolution , integration , and governance at scale Build highly available, resilient systems that support both real-time and batch workloads across global regions Collaborate with product, data, and platform teams to transform business needs into scalable technical solutions Key Responsibility Develop scalable, distributed software systems and work on other projects that require research, awareness, interactivity and the ability to ask the right questions Design, develop, debug, support, maintain and test so