Principal Data Architect
Posted 58mins ago
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Job Description
Principal Data Architect modernizing a major US mortgage lender’s Finance data platform with Azure, Microsoft Fabric, and Snowflake. Designing CDC pipelines, governed semantic models, and dimensional data architecture at CI&T.
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 interoperability
- Design the curated data layer and dimensional model, including recomputing source-system runtime-calculated values 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, including design validation, baseline lock, and cutover readiness
- Produce evidence required 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 (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
- 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
Benefits:
- Premium Healthcare
- Meal voucher
- Maternity and Parental leaves
- Mobile services subsidy
- Sick pay-Life insurance
- CI&T University
- Colombian Holidays
- Paid Vacations
- Inclusive and safe work environment
- Diversity and inclusion initiatives
















