[Job - 31832] Principal Data Architect, Colombia
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 13h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 3d ago
The date the source published, not the day we noticed it (2026-09-28). Last seen at its source 1h ago.
We have tracked this listing since 28 Sep 2026 (3 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Colombia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $90k–102k/yr
Middle 50% of 9 listings that do state pay — Engineering · all levels · Colombia · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 3d ago · last seen 1h ago
The listing
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
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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.
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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.
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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.
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Design the strategy for a single certified BI semantic model consumed by all downstream reporting tools, with metric definitions versioned in one governed place.
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Work hands-on inside the codebase alongside the development team through the design-and-build core.
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Lead technical discovery with client architecture, security, and platform teams; resolve open interoperability and network/identity design questions.
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Own quality gates for architecture decisions — design validation, baseline lock, cutover readiness — and produce the evidence client stakeholders need to sign off.
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Mentor the development team on transformation patterns, incremental materialization, and reconciliation/data-quality design.
Requirements for this challenge
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Solid experience in data architecture, including hands-on delivery (not review-only) on enterprise data platform modernization programs.
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Proven experience architecting cloud data platforms on Snowflake, including layered raw/staging/curated models and incremental transformation patterns (e.g., dynamic or materialized tables).
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Experience with Microsoft Fabric/OneLake, or a comparable lakehouse platform, including cross-platform interoperability between a lakehouse and a cloud data warehouse.
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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.
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Experience designing governed, certified BI semantic layers (Power BI or equivalent) consumed by multiple reporting tools.
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Strong command of data governance fundamentals: classification, masking, row-level access, lineage.
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Fluent English (C1) — direct engagement with client architecture, security, and executive stakeholders.
Nice to Have
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Experience with Microsoft Dynamics 365 Business Central or another ERP as a source system for financial/GL reporting.
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Experience in mortgage, lending, or broader financial-services data platforms.
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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.