AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE As a Cloud Data Architect, you’ll lead the design of a next-generation AWS data platform from the ground up — building the Medallion Lakehouse architecture that will become the unified data foundation for the entire organization. This is a greenfield opportunity for a senior architect who wants genuine ownership: shaping ingestion patterns, governance frameworks, and scalable data models across S3, Redshift, Glue, dbt, and Airflow. WHAT YOU WILL DO - Lead design and implementation of enterprise data architecture following Medallion framework; - Develop data models, pipelines, and schemas for data unification, governance, and analytics; - Build and optimize AWS-based data infrastructure using core services; - Implement Lakehouse architecture integrating structured and unstructured data; - Ensure performance, scalability, and cost efficiency of the data ecosystem; - Design and oversee data ingestion from multiple on-prem and cloud systems; - Define integration strategies using batch, streaming, and event-driven patterns; - Collaborate with governance teams to enforce data security, access control, and quality; - Work with engineering and business teams to deliver scalable data solutions; - Support data platform modernization initiatives and roadmap execution; - Document architecture, standards, and data flows for diverse audiences. MUST HAVES - 8+ years of experience in data engineering or architecture; - 5+ years of experience working with AWS data ecosystems; - Expertise with AWS core services (S3, Glue, Redshift, Lambda, Athena, Kinesis, EMR); - Experience with data integration tools (dbt, Step Functions, Airflow, AWS DMS, Kafka, Kinesis); - Strong knowledge of data modeling (Medallion/Lakehouse, dimensional modeling, Data Vault, Kimball); - Experience with infrastructure as code (Terraform, CloudFormation); - Proficiency in Python, SQL, and Spark (PySpark) for ETL; - Strong understanding of data governance, quality, and security; - Experience with enterprise-scale architecture and data integration; - Upper-intermediate English level. PERKS AND BENEFITS - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: USD-based pay with education, fitness, and team activity budgets. - Exciting projects: Modern solutions with Fortune 500 and top product companies. - Flextime: Flexible schedule with remote and office options.

It’s More Than a Career, It’s a Mission. Our people are the foundation of our success. By joining our growing team at Sarah Cannon Research Institute (SCRI), a subsidiary of McKesson, you will have the opportunity to become part of one of the largest community-based cancer programs to advance oncology treatments and improve outcomes for cancer patients across the globe. We look for mission-driven candidates who have a desire to advance the fight against cancer and make a difference in the lives of patients diagnosed with cancer every day. Our Mission People who live with cancer – those who work to prevent it, fight it, and survive it – are at the heart of every decision we make. Bringing the most innovative medical minds together with the most passionate caregivers in their communities, we are transforming care and personalizing treatment. Through clinical excellence and cutting-edge research, SCRI is redefining cancer care around the world. As a Lead Data Architect, you will play a pivotal role in driving our database strategy across all products. This role demands a profound expertise in data architecture to analyze, design, and implement complex systems ensuring robust, scalable solutions that support our business goals. Your expertise will ensure that our data infrastructure is robust, scalable, and aligned with our mission, enabling us to harness the power of data to improve healthcare delivery and support our ongoing commitment to clinical research and our patients. Job Responsibilities: - Responsible for designing, building, and managing the organization's data infrastructure. - Create the blueprint for how data is collected, stored, processed, and used, ensuring it's accessible, reliable, and secure. - Design the structure and systems that allow the organization to effectively manage and use its data, ensuring it is a valuable asset for decision-making and business operations. - Create and maintain documentation for database architecture, procedures, and standards. Key Responsibilities: - Data Strategy: Develop and implement a comprehensive data strategy aligned with business goals. This involves understanding the organization's data needs and creating a roadmap for effective data management. - Data Modeling: Design conceptual, logical, and physical data models that represent the structure and relationships of data within the organization. - Data Architecture: Create and maintain the overall data architecture framework, including databases, data warehouses, data lakes, and other data systems. - Data Mapping: Develop and implement data mapping rules to transform data from source systems to target systems, ensuring data accuracy and consistency. - Data Integration: Design and implement processes for integrating data from various sources, ensuring data consistency and accuracy. - Data Governance: Establish data governance policies and procedures to ensure data quality, security, and HIPPA compliance across all data systems and platforms. - Technology Evaluation: Evaluate and recommend data management technologies and tools to support the organization's data needs. - Problem Solving: Identify and resolve data-related issues, ensuring data integrity and reliability. - AI Solutions: Design and implement architectures that seamlessly integrate AI models and algorithms with existing data infrastructures, including cloud-native and legacy systems. - Collaboration: Work closely with stakeholders, including business analysts, data scientists, and IT professionals, to understand data requirements and translate them into technical solutions. Influence projects to make decisions related to data strategies including data quality, data architecture and data management best practices Minimum Job Qualifications: - Minimum of 7 years of experience in enterprise data architecture, including data requirements collection, data architecture analysis, evaluation, documentation, data modeling, design, development, model validation, and data integration in modern data platforms (e.g., Azure, Databricks, Snowflake). - Bachelor’s Degree in Computer Science, Information Systems, Engineering, or equivalent experience. Critical Skills: - Minimum 10 years of experience in database engineering/management required. - Knowledge of software development methodologies (e.g., Agile, DevOps, SDLC, CI/CD, GitHub). - 7+ years' experience working with data sources (e.g. APIs) and databases such as Oracle, PostgreSQL, SQL Server, and cloud databases. - Knowledge of cloud technologies like Azure (Data Factory, Databricks), AWS. - Strong knowledge of industry best practices — code coverage. - Strong knowledge of database concepts, data modeling techniques, system performance analysis and tuning, and data warehousing concepts. - Knowledge of various operating systems such as Linux, Unix, and Windows. - Ability to write complex queries and perform advanced database operations using SQL. Preferred Skills: - Expertise in modern cloud-native database solutions - Experience with database migration tools and strategies, including handling zero-downtime migrations and data synchronization - Proficiency in infrastructure-as-code and automation tools (Terraform) for database deployment and management. - Ability to design scalable database architectures that support microservices and distributed systems - Experience with various database patterns (CQRS, event sourcing, sharding strategies) - Understanding of data modeling for both relational and NoSQL databases About Sarah Cannon Research Institute Sarah Cannon Research Institute (SCRI) is one of the world’s leading oncology research organizations conducting community-based clinical trials. Focused on advancing therapies for patients over the last three decades, SCRI is a leader in drug development. In 2022, SCRI formed a joint venture with former US Oncology Research to expand clinical trial access across the country. It has conducted more than 850 first-in-human clinical trials since its inception and contributed to pivotal research that has led to the majority of new cancer therapies approved by the FDA in the past decade. SCRI’s research network brings together more than 1,300 physicians who are enrolling patients into clinical trials at more than 200 locations in 20+ states across the U.S. Please click here to learn more about our research offerings. We care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse colleague population and ensure they are the healthiest versions of themselves. For more information regarding benefits through our parent company, McKesson, please click here. As part of Total Rewards, we are proud to offer a competitive compensation package. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: careers.mckesson.com. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

ABOUT THIS ROLE As a Technical Architect at Kibo, you will be responsible for leading the design and implementation of our ecommerce/OMS platform in conjunction with the technical architecture of our clients' systems and software. You will work closely with the development team, external stakeholders, and other cross-functional teams to ensure that the architecture is aligned with the business goals and strategic direction of the organization. ABOUT KIBO WHAT YOU’LL DO - Lead thorough design, development, and configuration endeavors for Commerce/ Retail (eCommerce and Order Management) applications - Collaborate, design, and development Kibo solutions that align project requirements and client business objectives - Develop code elements as needed to support Kibo Principles and/or assist with proof of concept to Project delivery teams - Lead technical and business discussions internally and externally to provide guidance and support to cross-functional teams throughout project lifecycle - Counsel Project Management teams in project planning, milestones, go-live/solution rollouts, and risk identification/mitigation to ensure deliverables are high quality and timely - Guide internal and external stakeholders through Commerce implementation and upgrade projects - Evaluate new technologies and trends and make recommendations to guide customers and project teams through Commerce/Retail projects and implementations - Develop and maintain best practices documentation and reusable frameworks to expedite project execution - Troubleshoot and resolve complex functional, deployment, or systemic issues with enterprise software applications and custom solutions - Support UAT, QA and Performance testing initiatives to meet functional and non-functional requirements

• Lead the design and governance of the bank’s integration architecture, enabling scalable, secure, and resilient connectivity between core banking (Temenos Transact) and the broader ecosystem, including digital channels, fintechs, and third-party systems. • Define integration architecture based on APIs, microservices, and event-driven patterns to connect with Temenos Transact • Design a flexible banking ecosystem, minimizing tight coupling with the core banking platform • Select and govern integration patterns (API Gateway, Event Bus, Orchestration Services, ESB, etc.) • Design strategies for high availability, resilience, scalability, and observability • Propose hybrid or cloud-native architecture blueprints aligned with the bank’s strategy • Establish API governance standards including versioning, security, throttling, and monitoring • Define guidelines for development, integration, testing, and environments • Oversee integrations with third parties, vendors, fintechs, and digital channels • Ensure alignment with Temenos Transact best practices, including API framework and contract mapping • Prevent unnecessary customization or over-engineering within the core banking platform • Provide technical leadership to development, integration, and DevOps teams • Review designs, ensure technical quality, and drive knowledge sharing • Coordinate API enablement and digital transformation initiatives