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[Job - 31832] Principal Data Architect, BrazilCI&T · Brazil
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CI&T

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[Job - 31832] Principal Data Architect, Brazil

🗓️ Posted 2026-09-28 Brazil Homeoffice Hybrid ICT
💰 Salary Not shared 📊 Market US$25,000–US$45,000/mo

About the Company

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

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

  • ● 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).
  • ● 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
  • ● 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.