Principal Data Architect

🕒 September 28

🇧🇷 Brazil – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 24%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 46 days.
• Jobs at this company usually fill in 21 days.
• No salary listed.

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CI&T

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1995

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 $5.5M Venture Round on 2014-04

Consulting • Healthcare • Marketing

CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.

📋 Description

• Own the end-to-end target architecture spanning CDC replication, lakehouse landing (Fabric/OneLake), and a layered cloud data warehouse on Snowflake • Author and maintain architecture decision records covering transformation mechanism, CDC/load strategy, semantic-model storage mode, warehouse isolation, and cross-platform interoperability • Design the curated data layer and dimensional model • Recompute source-system runtime-calculated values and conform key-value dimension structures into standard reporting attributes • Design the strategy for a single certified BI semantic model with governed, versioned metric definitions • Work hands-on inside the codebase alongside the development team through design and build • Lead technical discovery with client architecture, security, and platform teams • Resolve interoperability and network/identity design questions • Own architecture quality gates, including design validation, baseline lock, and cutover readiness • Produce evidence for client stakeholder 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 on enterprise data platform modernization programs • Proven experience architecting cloud data platforms on Snowflake, including layered raw/staging/curated models and incremental transformation patterns • 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 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) • Experience with Microsoft Dynamics 365 Business Central or another ERP as a source system for financial/GL reporting (nice to have) • Experience in mortgage, lending, or broader financial-services data platforms (nice to have) • Familiarity with AI-assisted development toolchains inside a governed software development lifecycle (nice to have)

🏖️ 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 • Health and Well-being team, inclusion specialists, and affinity groups • Support and accommodations for people with disabilities during the selection process

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