资深数据架构师，巴西

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.