• Lead the design, development, and implementation of enterprise data architecture for the new platform • Architect scalable data platforms supporting daily operations, clinical management, reporting, and analytics • Leverage AI technology to design the system, develop the system, and maximize efficiency of operations • Design and maintain enterprise data models, including conceptual, logical, and physical data architectures • Define and implement data integration patterns across Microsoft Dynamics, EHR/EMR systems, claims systems, and third-party applications • Design and oversee ETL/ELT processes to ingest, transform, validate, and distribute data across enterprise systems • Establish data governance standards, metadata management practices, data quality frameworks, and master data management strategies • Collaborate with Engineering teams to design modern cloud-based data solutions leveraging Azure data services • Architect data lake, data warehouse, and data mart solutions to support reporting and advanced analytics needs • Ensure solutions comply with HIPAA, HITRUST, privacy, security, commercial, and regulatory requirements • Partner with business stakeholders to translate strategic objectives into scalable data solutions • Other duties as assigned

• Design and implement the canonical data model for Vultr’s control plane ERP transformation: product catalog, chart of accounts, financial transactions, cost centers • Build and maintain the internal APIs and event streams that Finance, Analytics, and downstream systems consume • Refactor existing administer code toward clean domain boundaries (no more conflated orders/ledger/report tables) • Implement data upgrade/migration paths from legacy schemas without breaking production • Write the integration layer between administer and Vultr's existing billing, provisioning, and reporting systems • Establish data validation and integrity checks across the financial data layer • Collaborate with the Product Manager to translate finance domain requirements into durable schema designs • Document architectural decisions and data model contracts for downstream consumers

Company Description Fortune Brands Innovations, Inc. is an industry-leading home, security and digital products company. We’re focused on exciting opportunities within the home, security and commercial building markets. Our driving purpose is to elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too. At Fortune Brands, we’re building something big. We’re advancing exciting innovations in all of our products and processes. We’re delivering trust, dependability, sustainability, and style. To make it all happen, we’ve transformed our workplace into an environment where smart, ambitious people have the support to reach their fullest potential. When you join Fortune Brands, you become part of a high-performing team empowered to think big, learn fast and make bold decisions. We support an inclusive culture where everyone is encouraged be their authentic selves, and where our differences and unique perspectives are a key strength. Explore life at Fortune Brands here. Job Description Lead Data Engineer, Fortune Brands Innovations Group, Inc., Deerfield, IL. Administer a cloud data warehouse platform (e.g., Snowflake or similar), including roles/permissions, performance tuning, security, & cost governance. Utilize Git for version control & collaboration throughout the development lifecycle. Help design scalable, reliable, & secure data architectures & models. Must have a Bachelor's Degree in Computer Science, Information Systems, or related & 5 years of experience in a data engineering or data operations position. Qualifications Of experience required, must also have 5 years of experience in each of the following: - Developing & maintaining ETL/ELT pipelines - Utilizing professional SQL development - Professional Python development with code-quality/testing practices - Using version control within the development lifecycle - Working with a cloud data warehouse platform (e.g., Snowflake, Amazon Redshift, or Google BigQuery) including performance optimization & role-based access/security - Building transformations & models using a data transformation framework (e.g., dbt or similar) - Implementing CI/CD for data code using common tools - Monitoring & optimizing cloud data platform costs - Migrating & loading data from APIs, SaaS applications, & ERP systems (e.g., Oracle or SAP) - Working with ETL tools & relational database platforms; & - Unix-based command-line tools. Experience may be gained concurrently. 100% remote. Apply online at: www.fbin.com/careers Additional Information Fortune Brands believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is $160,555 to $193,000 per year. An employee’s actual salary within the range will be based on factors including, but not limited to, relevant education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based sales incentive plan. At Fortune Brands, we support the overall health and wellness of our associates by offering comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company contribution, product discounts, flexible time off benefits, adoption benefits, and more. We offer numerous ERGs (Employee Resource Groups) to foster a sense of belonging for all associates. Fortune Brands is built on industry-leading brands and innovation within the high-growth categories of water, outdoors and security. The Company makes innovative products for residential and commercial environments, with a growing focus on digital solutions and products that add luxury, contribute to safety and enhance sustainability. To learn more, visit our website at fbin.com. Equal Employment Opportunity Fortune Brands is an equal opportunity employer. Fortune Brands evaluates qualified applicants without regard to race, color, religion, sex, gender identity or expression, national origin, ancestry, age, disability/handicap status, marital status, protected veteran status, sexual orientation, genetic history or information, or any other legally protected characteristic. Reasonable Accommodations Fortune Brands is committed to working with and providing reasonable accommodations to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please contact us at fbinleave.fbhs@fbin.com and let us know the nature of your request along with your contact information. Important Notice: Protect Yourself from Fraudulent Job Postings To protect yourself from fraudulent job postings or recruitment scams, please note that Fortune Brands job postings are exclusively hosted on our website at fbin.com/careers via our SmartRecruiters platform. Fortune Brands will never request banking information or sensitive personal details until an offer of employment has been accepted and the onboarding process begins.

• Design, build, and operate a secure, scalable, AI‑ready data and analytics platform on Microsoft Azure and Microsoft Fabric, including OneLake, Lakehouse, and Warehouse components. • Administer and optimize Azure and Fabric platform resources including subscriptions, resource groups, RBAC, Azure Policies, and Fabric capacities (F SKUs), workspaces, and item governance. • Manage storage and compute layers across the platform covering ADLS Gen2, Delta Lake, Lakehouse/Warehouse, SQL pools, and Spark runtime and capacity settings. • Enable and operate data ingestion and transformation services using Azure Data Factory, Synapse Pipelines, Fabric Data Factory, and Dataflows Gen2, focusing on platform configuration, reliability, and standards (no pipeline business logic). • Establish platform reliability and operational excellence including monitoring, alerting, autoscaling, performance tuning, cost control, tagging, chargeback/showback, and capacity optimization. • Harden platform security end to end leveraging Entra ID (Azure AD), PIM, conditional access, managed identities, Key Vault, private endpoints, encryption, and network isolation. • Implement governance, compliance, and data protection controls using Microsoft Purview (catalog, lineage, classification), DLP, sensitivity labels, retention policies, and auditing. • Enable AI/ML and advanced analytics workloads by integrating Azure Machine Learning and Fabric ML experiences, including feature stores, registries, compute access, and inference endpoints from a platform perspective. • Oversee CI/CD and lifecycle management for analytics and data platform artifacts including Fabric Git integration, Azure Repos/GitHub, branching strategies, automated deployments, and environment promotion. • Act as tenant and workspace administrator and platform enabler for Fabric and Power BI (capacity settings, gateways, semantic models, refresh, RLS/OLS), while collaborating cross‑functionally, defining best practices, and coaching teams on platform usage.