• Build and maintain full-stack product features that use data and AI to improve customer, agent, supervisor, and administrator experiences • Develop backend services, APIs, workflows, and integrations that connect product systems with data and AI capabilities • Work with customer interaction data, conversation data, analytics models, and operational datasets to support AI-powered features • Partner with AI, Data Platform, Product, QA, and other engineering teams to design and deliver reliable customer-facing systems • Contribute to data pipelines, data models, and internal tools that make product and operational data easier to use • Build user-facing experiences and internal interfaces using modern JavaScript/TypeScript when needed • Write maintainable, well-tested code and participate in design reviews, code reviews, debugging, and production support • Take ownership of ambiguous problems, break them down clearly, and drive them through delivery • Learn new parts of the stack as needed and help raise the engineering quality bar for the team

Role Description Welltower’s Data Science Intern is someone who is passionate about turning data into insights. This intern will work alongside the Data Science and Business Insights teams to support the development of analytics solutions, integrate information from various sources, and help evaluate data-driven opportunities across the business. The role will also provide exposure to AI-enabled processes and advanced analytics initiatives that support strategic decision-making. The Data Science Intern will contribute to projects involving: - Data preparation - Exploratory analysis - Predictive modeling - Business intelligence This internship offers an opportunity to gain hands-on experience applying data science techniques within a dynamic real estate and healthcare environment. Qualifications - Currently pursuing a PhD degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Information Systems, or a related field. - Demonstrated interest in data science, analytics, machine learning, or artificial intelligence through coursework, projects, research, or prior internships. - Familiarity with data analysis and statistical concepts. - Exposure to programming languages and data science tools such as Python, R, SQL, or similar technologies. - Familiarity with data visualization tools such as Tableau, Power BI, or similar platforms is preferred. - Basic understanding of machine learning concepts and predictive analytics techniques. - Strong analytical and problem-solving skills. - Excellent verbal and written communication skills. - Ability to work independently and collaboratively in a team environment. - Interest in real estate, healthcare, finance, or related industries is a plus. - Coursework in statistics, machine learning, data analytics, predictive modeling, or related disciplines is preferred. Requirements - Employment is contingent upon the successful completion of a background check, drug screening, and verification of employment, education, and other credentials relevant to the position. Company Description Welltower® Inc. (NYSE: WELL) is the world's preeminent residential wellness and healthcare infrastructure company. Our portfolio of 1,500+ Seniors and Wellness Housing communities is positioned at the intersection of housing, healthcare, and hospitality, creating vibrant communities for mature renters and older adults in the United States, United Kingdom, and Canada. We also seek to support physicians in our Outpatient Medical buildings with the critical infrastructure needed to deliver quality care. Our real estate portfolio is unmatched, located in highly attractive micro-markets with stunning built environments. Yet, we are an unusual real estate organization as we view ourselves as a product company in a real estate wrapper driven by relationships and unconventional culture. Through our disciplined approach to capital allocation powered by our data science platform and superior operating results driven by the Welltower Business System, we aspire to deliver long-term compounding of per share growth and returns for our existing investors – our North Star. Welltower is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Minority/Female/Sexual Orientation/Gender Identity/Disability/Vet

Role Description Are you looking for a role that motivates and challenges you? Are you ready for an opportunity for growth? Do you want to work on teams where people roll up their sleeves to take on tough problems together, and regularly blow the doors off our clients with their outstanding teamwork? If you answered yes to those questions, 3Cloud might just be for you! The Senior Architect in Delivery leads architecture and technical direction for multi-team Azure programs across applications, platforms, and data. You connect client goals to scalable designs, guide delivery across teams, and shape modernization work so it delivers measurable results. At this level, you influence architecture beyond a single project. You set direction across engagements, work with business and technology leaders, raise the bar on delivery quality, and promote reusable patterns. You mentor architects and senior engineers, support strategic pursuits, and turn working solutions into repeatable delivery models. Responsibilities - Solution Architecture and Technical Leadership - Lead architecture and technical strategy for Azure modernization and transformation programs that span multiple teams and workstreams. - Translate client goals into scalable designs that align with business priorities, non-functional requirements, delivery constraints, and program-level outcomes. - Drive architecture across teams so designs follow shared models, standards, and patterns. - Collaborate with architects and engineers in other domains to integrate solutions and maintain a cohesive end-to-end architecture. - Provide ongoing architectural guidance during implementation, including reviews of key designs and code, and define patterns and guardrails that teams can reuse. - Apply solid engineering practices in your primary domain—modular design, clear interfaces, testability, and observability—so solutions remain robust and maintainable. - Use AI-assisted tooling to accelerate design, code, tests, documentation, and analysis, and help teams adopt effective practices at program scale. - Delivery and Consulting Excellence - Lead or co-lead discovery and roadmap work for programs or large workstreams, turning inputs into integrated, testable backlogs with clear non-functional requirements and dependencies. - Use structured problem solving to clarify scope, dependencies, and risks at program scale, and explain options in terms of value, cost, risk, and time-to-impact. - Communicate architecture strategy and decisions clearly to technical and non-technical audiences, including executives. - Build trusted relationships with product, engineering, and technology leaders, and help shape modernization roadmaps in the client’s best interest. - Provide architecture oversight so designs, interfaces, and integration points support predictable delivery and stable team velocity. - Align multiple teams on shared outcomes, contracts, and integration points, ensuring dependencies are identified, owned, and tracked through to delivery. - Help define delivery approaches, working agreements, and documentation practices that keep 3Cloud and client teams aligned across locations and time zones. - Support effective use of Agile at scale by ensuring architecture and backlog structure enable incremental delivery, clear definitions of done, and data-informed adjustments based on telemetry and feedback. - Apply a consulting mindset by anticipating client needs, proposing options, and tying solutions to clear results and adoption, and handle challenge and pushback by explaining trade-offs in simple, direct language. - Mentorship and Team Development - Mentor architects, senior engineers, and technical leads, building their design skills, architectural judgment, and ability to work effectively across systems and teams. - Provide architectural oversight across teams or workstreams, modeling pragmatic decision-making and showing when to keep solutions simple and when new patterns or technologies are justified. - Support hiring and growth by participating in technical interviews, calibration discussions, and mentorship, and by helping shape development plans for future architects. - Growth and Innovation - Contribute to business development by identifying opportunities beyond the current assignment across all our capabilities and assisting the sales director in pursuing them. - Intentionally build relationship networks within client accounts to deepen partnership and identify opportunities to provide additional business value. - Partner with sales and account leaders on strategic pursuits by setting the technical vision, contributing to solution strategy, and participating in client workshops, demos, and roadmap sessions. - Create solution options, high-level designs, and estimates for programs, clearly documenting assumptions, dependencies, and risks and tying them back to business value and risk reduction. - Build and evolve reusable assets—such as reference architectures, runbooks, workshops, starter repositories, and templates—that become standard paths for delivery teams. - Champion adoption of modern frameworks, patterns, platform capabilities, automation, and AI-assisted tools that improve quality, speed, or reliability in a safe and secure way. - Actively participate in enablement initiatives, share lessons from complex engagements, and help build a culture of collaboration, continuous improvement, and knowledge sharing. Qualifications - 10+ years of experience delivering solutions in a primary technical domain. - 5+ years of experience in solution architecture and leading development or engineering teams, including multi-team or multi-workstream efforts. - 8+ years of experience in data engineering, including 4+ years of experience architecting data solutions on Azure. - Deep expertise in Microsoft Azure with experience with Databricks and/or Fabric. - Proven ability to design and implement modern data architectures (data lakes, data warehouses, lakehouses, data mesh, streaming pipelines). - Proficiency in Python, PySpark, SQL, and data engineering frameworks. - Azure DevOps (including building Stories and tasks, and using pipelines and ARM templates for publishing code). - Knowledge of infrastructure as code, APIs, security, compliance, and master data management. - Experience optimizing data pipelines, queries, and architectures for performance and cost. - Proven experience leading architecture and delivery for Azure-based solutions such as modernizations, transformations, or platform build-outs. - Ability to define solution architectures that connect business goals to scalable technical designs and solid delivery practices. - Experience leading hybrid and remote teams and maintaining alignment, quality, and predictable delivery across time zones. - Deep knowledge of core concepts, languages, frameworks, and design patterns in your primary domain, with the ability to apply them at program scale. - Experience using AI-augmented development and integrating AI or machine learning capabilities into solutions using APIs, frameworks, or cloud-based AI services. - Experience with Agile or Scrum at scale, including backlog management, work slicing, and dependency handling. - Experience in consulting or professional services. - Familiarity with key Azure services relevant to your domain, such as messaging, compute, data, security, networking, and integration. - Strong analytical and problem-solving skills, with clear written and verbal communication. - Demonstrated interest in learning new cloud technologies and turning that learning into practical improvements for teams. - Ability to stay hands-on with architecture and, when needed, implementation while guiding complex cloud solutions across teams. Requirements - At this time, we cannot sponsor applicants for work visas. Benefits - Flexible work location with a virtual first approach to work! - 401(K) with match up to 50% of your 6% contributions of eligible pay. - Generous PTO providing a minimum of 15 days in addition to 9 paid company holidays and 2 floating personal days. - Two medical plan options to allow you the choice to elect what works best for you! - Option for vision and dental coverage. - 100% employer paid coverage for life and disability insurance. - Paid leave for birth parents and non-birth parents. - Option for Healthcare FSA, HSA, and Dependent Care FSA. - $67.00 monthly tech and home office allowance. - Utilization and/or discretionary bonus eligibility based on role. - Employee Assistance Program to help with everyday challenges. - 3Cloud offers competitive compensation. In addition to base pay employees are eligible to receive an annual discretionary/utilization bonus. - Base Salary Range: $136,300 — $204,500 USD.

Role Description We are looking for a Senior Data Engineer to join our Data and Analytics team. You will design and build modern cloud data platforms and pipelines that turn raw data into reliable, analytics-ready solutions using technologies such as Microsoft Azure, Databricks, and Microsoft Fabric. - Proficient data engineering specialist with strong skills in developing complex, end-to-end data solutions - Detail-oriented with a structured approach to data modeling, pipeline development, and documentation - Responsible, well-organized, and cooperative, comfortable working both independently and in cross-functional teams - Good at problem-solving, communication, and building strong client relationships Responsibilities - Implementing and maintaining data platforms in Databricks and Microsoft Fabric - Designing and developing data lakes based on the medallion architecture and dimensional data models - Building and optimizing pipelines for data ingestion, load, and transformation (ETL/ELT) - Developing and maintaining semantic models based on business user requirements - Ensuring data quality, performance, and reliability across the data platform Experience - 5+ years of experience in Data Engineering or Business Intelligence - Development of BI/data solutions using cloud data technologies, in particular Microsoft Azure services, as well as on-premises technologies such as the Microsoft SQL Server BI platform (SSIS, SSAS, SSRS) - Designing and implementing Data Warehouses or Lakehouses and dimensional data models - Strong knowledge of SQL and proficiency in DAX; development of tabular/semantic models (Azure Analysis Services, Power BI / Microsoft Fabric) - Development of ETL/ELT pipelines (Databricks, Microsoft Fabric, and/or Azure Data Factory) - Performance tuning of databases, complex queries, and ETL packages - Analysis of business requirements, creating mapping documents, and user stories - Python and CI/CD for BI solutions using Azure DevOps is a plus - Relevant Databricks and Microsoft Fabric certifications are a plus - Cost optimization of cloud data platforms is a plus - Experience working with Generative AI and AI-assisted development tools (e.g., Claude, MCP servers) in the data engineering area is a plus Benefits - Competitive salary - Minimum 22 days of vacation per year - Great office space with remote work option - Skilled and experienced team - Opportunity to learn and grow - Work on exciting projects - Flexible working hours and great work-life balance - Career development opportunities Company Description Moberg is a Croatian-Icelandic company focused on building innovative digital solutions across industries including fintech, e-commerce, and tourism. By using advanced analytics, machine learning, and other modern technologies, we’re helping our business partners continuously improve their operations and optimize their business processes.