Empresa: CI&T
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. At CI&T, our rapid growth is fueled by the innovative solutions we create for our global clients. We are seeking a hands-on Principal Data Architect to own the target architecture for a large-scale data platform modernization at a major US mortgage lender — migrating Finance reporting off a legacy on-premises source system onto a governed cloud data platform (Azure, Microsoft Fabric, and Snowflake), with CDC-based replication and a certified BI semantic layer. This is deliberately a hands-on role: you build alongside the development team through design and build, not a review-from-a-distance seat. This position calls for a hybrid architect: someone who can design and defend complex technical decisions in front of the client's data and cloud teams at a strategic level, while also working hands-on with the development team to validate and build the solution. A strong grounding in software and data development is essential — profiles limited to analytics work alone will not have the depth this role requires. Responsibilities • Own the end-to-end target architecture spanning CDC replication, lakehouse landing (Fabric/OneLake), and a layered cloud data warehouse (raw/staging → conformed → curated) on Snowflake. • Author and maintain architecture decision records covering transformation mechanism, CDC/load strategy, semantic-model storage mode, warehouse isolation, and cross-platform (lakehouse-to-warehouse) interoperability. • Design the curated data layer and dimensional model, including recomputing source-system runtime-calculated values that don't exist in raw replicated data, and conforming key-value dimension structures into standard reporting attributes. • Design the strategy for a single certified BI semantic model consumed by all downstream reporting tools, with metric definitions versioned in one governed place. • Work hands-on inside the codebase alongside the development team through the design-and-build core. • Lead technical discovery with client architecture, security, and platform teams; resolve open interoperability and network/identity design questions. • Own quality gates for architecture decisions — design validation, baseline lock, cutover readiness — and produce the evidence client stakeholders need to sign off. • Mentor the development team on transformation patterns, incremental materialization, and reconciliation/data-quality design. Requirements for this challenge • Solid experience in data architecture, including hands-on delivery (not review-only) on enterprise data platform modernization programs. • Proven experience architecting cloud data platforms on Snowflake, including layered raw/staging/curated models and incremental transformation patterns (e.g., dynamic or materialized tables). • Experience with Microsoft Fabric/OneLake, or a comparable lakehouse platform, including cross-platform interoperability between a lakehouse and a cloud data warehouse. • Experience architecting change-data-capture (CDC) based replication pipelines (e.g., Qlik Replicate, Fivetran, Debezium, or similar) from a relational source into a cloud platform. • Experience designing governed, certified BI semantic layers (Power BI or equivalent) consumed by multiple reporting tools. • Strong command of data governance fundamentals: classification, masking, row-level access, lineage. • Fluent English (C1) — direct engagement with client architecture, security, and executive stakeholders. Nice to Have • Experience with Microsoft Dynamics 365 Business Central or another ERP as a source system for financial/GL reporting. • Experience in mortgage, lending, or broader financial-services data platforms. • Familiarity with AI-assisted development toolchains inside a governed software development lifecycle (SDLC), where AI output is always a draft requiring human sign-off on production logic. #LI-JP3 Our benefits: -Health and dental insurance -Meal and food allowance -Childcare assistance -Extended paternity leave -Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; - Profit Sharing and Results Participation (PLR); -Life insurance - Continuous learning platform (CI&T University); -Discount club -Free online platform dedicated to physical, mental, and overall well-being -Pregnancy and responsible parenting course -Partnerships with online learning platforms -Language learning platform And many more! More details about our benefits here: https://ciandt.com/br/pt-br/carreiras At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here . This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it. We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.