• Prepare residential architectural drawings and design sets using CAD or similar design software. • Work from measured survey information, site notes, client briefs, and existing design examples. • Develop design proposals for residential projects, including extensions, refurbishments, alterations, and planning-stage drawings. • Support projects from early design through to submission and completion. • Apply knowledge of London planning requirements, particularly within South West London councils. • Liaise with clients directly to answer questions, provide updates, and clarify design details. • Take ownership of around 80% of project delivery after the initial consultation. • Adapt to the company’s preferred drawing layouts, standards, presentation style, and workflow. • Coordinate with internal team members and external survey support where required. • Ensure drawings are accurate, consistent, and delivered on time. • Help reduce bottlenecks by closing out projects efficiently and independently. • Maintain clear communication with the business owner or senior designer on project progress, risks, and deadlines.

Role Description This is a remote position. This position will have responsibility for coordinating the implementation and integration of applications. This position works closely with applications and technical teams to ensure the efficient flow of information and data. Ensures that plans are followed and issues resolved in a manner that results in a successful implementation. - Designs, develops, configures, and implements solutions to resolve complex technical and business issues across multiple functions. - Leads design, development, and implementation to integrate new solutions within the existing or newly defined architecture. - Serves as a primary technical liaison to end users for new requirements and issues related to applications. - Collaborates with leadership on development of application standardization as well as responsible for providing/setting direction on application architecture. - Maintains knowledge of new developments and research related to application packages and healthcare IT trends. Qualifications - Bachelors or equivalent knowledge and skills obtained through a combination of education, training, and experience in a Healthcare environment. - & years of relevant experience. Company Description Inspired by faith. Driven by innovation. Powered by humankindness. CommonSpirit Health is building a healthier future for all through its integrated health services. As one of the nation’s largest nonprofit Catholic healthcare organizations, CommonSpirit Health delivers more than 20 million patient encounters annually through more than 2,300 clinics, care sites and 137 hospital-based locations, in addition to its home-based services and virtual care offerings. CommonSpirit has more than 157,000 employees, 45,000 nurses and 25,000 physicians and advanced practice providers across 24 states and contributes more than $4.2 billion annually in charity care, community benefits and unreimbursed government programs. Together with our patients, physicians, partners, and communities, we are creating a more just, equitable, and innovative healthcare delivery system.

Title: Lead Enterprise Data Architect Location: Saint Louis United States Charlotte, NC, United States and 2 more Charlotte, NC, United States Irving, TX, United States Melville, NY, United States (Hybrid) (Hybrid) - Job Identification18263 - Job CategoryData Management - Posting Date04/21/2026, 10:47 PM - Job ScheduleFull time - Locations 2238 Ball Dr, St. Louis, MO, 63146, US(Hybrid) - Incentive EligibleRBP - BusinessADI Global Distribution - Hiring Salary RangeThe typical hiring salary for this role, ranges from USD $133263.64 to $198821.82 per year but varies by specific work location. For example, the hiring salary for this role in Melville, NY is $159916.36 to $238586.18 per year and New York City, NY is $166579.55 to $248527.27 . Within a range, Resideo determines base pay for an individual based on various factors, including market conditions, skills, and experience. - Incentive Eligible (RBP)This position is eligible for a performance-based bonus of up to 10% of the annual base salary. The bonus is contingent upon both individual and company performance. - BenefitsResideo provides comprehensive benefits, including life and health insurance, life assistance program, accidental death and dismemberment insurance, disability insurance, 401k Plan, vacation & holidays. Job Description Job Description: Enterprise Data Architect We are seeking an experienced and passionate Enterprise Data Architect to build and own foundational enterprise data management capabilities spanning Master Data Management (MDM), Data Governance, Data Quality, Metadata & Cataloging, semantic/context layer engineering, and enterprise data architecture. This role combines strategic leadership with hands‑on technical expertise to ensure enterprise data is trusted, governed, discoverable, and ready for analytics, AI, and operational use. The Enterprise Data Architect designs, governs, and evolves the enterprise-wide data architecture that powers analytics, AI, and operational workflows. You will define standards and reference architectures; guide data modeling and integration patterns; and influence platform decisions across the enterprise data hub/warehouse ecosystem, MDM, governance, and metadata capabilities. JOB DUTIES Enterprise Data Architecture Leadership - Define and maintain the enterprise data architecture strategy, reference models, and standards - Create and govern canonical data models, domain models, and integration patterns - Ensure architectural alignment across data engineering, analytics, MDM, governance, and application teams - Drive modernization toward cloud‑native, scalable, AI‑ready architectures - Define architecture guardrails for data security, privacy, and regulatory compliance in partnership with Security and Legal (e.g., access controls, classification, retention) Data Modeling & Canonical Design - Lead design of conceptual, logical, and physical data models across domains - Establish enterprise‑wide modeling standards, naming conventions, and modeling patterns - Partner with MDM and governance teams to ensure consistency across master data, reference data, and operational data Semantic / Context Layer Architecture - Architect and maintain the enterprise context layer (semantic layer) enabling consistent metrics, definitions, and reusable data entities - Define metric logic, dimensional models, and semantic relationships used across BI, AI, and operational systems - Ensure alignment with analytics engineering (dbt, metric stores, semantic tools) Master Data & Governance Architecture - Architect MDM solutions including domain models, match/merge logic, hierarchies, and integration patterns - Partner with governance teams to operationalize policies through technology - Integrate metadata, lineage, and governance workflows into the architecture Data Integration & Platform Architecture - Define ingestion, transformation, and consumption patterns across batch, streaming, and API‑based pipelines - Architect cloud data platforms (Azure/AWS/GCP) including lakehouse, warehouse, and real‑time components Metadata, Catalog, and Lineage Architecture - Ensure scalability, performance, security, and cost optimization - Design metadata ingestion patterns and lineage frameworks across pipelines, BI tools, and MDM systems - Implement enterprise cataloging solutions using platforms such as Collibra, Atlan, Alation, or similar - Ensure metadata is complete, accurate, and actionable for governance and engineering teams Hands‑On Technical Execution - Build and validate architectural prototypes, POCs, and reference implementations - Write SQL, design schemas, build lineage connectors, and define transformation logic - Troubleshoot complex data architecture issues across pipelines, models, and platforms Cross‑Functional Leadership - Partner with data engineering, analytics, MDM, governance, product, and application teams - Provide architectural guidance, code reviews, and technical mentorship - Communicate architectural decisions to executives, engineers, and business stakeholders YOU MUST HAVE - 8+ years of experience in data architecture, data engineering, or enterprise architecture - Deep hands‑on experience with cloud data platforms (Snowflake, Databricks, Azure, AWS, or GCP) - Strong expertise in data modeling (dimensional, relational, canonical, semantic) - Experience architecting MDM and governance solutions using Collibra, Reltio, Atlan, Informatica, or similar - Strong SQL, data pipeline design, and metadata/lineage engineering skills - Experience with modern data stack tools (dbt, Spark, Kafka, Airflow, etc.) - Ability to translate business needs into scalable architectural designs - Experience with enterprise architecture frameworks (TOGAF, DAMA‑DMBOK) - Background in designing AI‑ready data architectures (feature stores, vector stores, semantic layers) - Experience with API‑driven architectures and event‑driven patterns - Familiarity with data products and data mesh concepts - Adoption of standardized data models and architectural patterns across the enterprise - Reduction in data duplication, inconsistencies, and integration complexity - High‑quality, governed, discoverable data powering analytics and AI - Scalable, cost‑efficient cloud data platform performance - Strong alignment between business, engineering, and governance teams WE VALUE - Experience with enterprise architecture frameworks (TOGAF, DAMA‑DMBOK) - Background in designing AI‑ready data architectures (feature stores, vector stores, semantic layers) - Experience with API‑driven architectures and event‑driven patterns - Familiarity with data products and data mesh concepts Success Measures - Adoption of standardized data models and architectural patterns across the enterprise - Reduction in data duplication, inconsistencies, and integration complexity - High‑quality, governed, discoverable data powering analytics and AI - Scalable, cost‑efficient cloud data platform performance - Strong alignment between business, engineering, and governance teams #LI-FH1 #hybrid

Title: Agentic Architect Location: Atlanta Permanent Experienced Professionals Data & AI ID 459384-en_US Job Description: At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. About the job you're considering This role focuses on bridging scientific R&D teams and engineering to design and deliver Azure‑based agentic AI solutions that make complex Food & Beverage formulation data easier to access, understand, and use for decision‑making. You’ll lead discovery, shape requirements and solution design, and help evolve AI capabilities from basic data‑retrieval chatbots to advanced reasoning and decision‑support systems with real business impact. Location: Remote anywhere in US Your role - Mid to senior role combining business analysis and solution architecture. - Focused on building an agentic AI chatbot solution on Microsoft Azure. - Primary purpose is to enable conversational access to R&D and formulation data stored in existing relational databases. - Deep engagement with food & beverage consumer packaged goods (CPG) R&D, formulation, and product development teams. - Role emphasizes requirements discovery, scope expansion, and identifying new AI-enabled opportunities beyond initial use cases. - Acts as a bridge between scientific users, business stakeholders, and technical delivery teams. Your skills and experience - Lead client discovery through interviews, workshops, and ongoing stakeholder engagement with around 10 years of experience. - Partner with R&D, formulation, and innovation teams to understand workflows, data challenges, and decision needs. - Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria. - Translate business and scientific needs into solution designs, architectural inputs, and delivery ready requirements. - Lead UX/UI design, workflow modeling, and prototyping. - Design Azure based agentic AI solutions, including conversational/chatbot interfaces and relational data retrieval. - Collaborate with engineering on AI orchestration, data integration, security, scalability, and performance. - Identify new AI use cases and opportunities to expand solution scope and value. - Support roadmap evolution from basic data retrieval chatbots to advanced reasoning and decision support systems. - Preferred skills include consulting or discovery phase experience, exposure to agentic/multi agent AI, conversational AI/NLP, regulated or scientific IT environments, and AI governance/responsible AI practices. The base compensation range for this role in the posted location is: $86,900 - $203,800/year Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: · Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave · Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) · Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) · Life and disability insurance · Employee assistance programs · Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.