Senior Data Architect — AI Lakehouse for GTM (Remote/Flexible)

Intellectsoft; Colombia; Presencial; COP 288.683.603 - 416.987.426; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

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Team-buildings, events, marathons &amp

Workshops, trainings, expert knowledge

Clear career path

Absence days for work-life balance

Flexible hours & work setup - workfrom

Descripción de la vacante

Intellectsoft is seeking a Senior Data Architect to lead the design of a brand-new data lakehouse and centralized data repository, fueling GTM and enterprise intelligence across the global sales stack.

You will own end-to-end data models, build scalable ETL/ELT pipelines with Microsoft Fabric and Azure analytics, and translate commercial strategy into analytics-ready structures, working in a fast-paced COE environment.

Formación

• Senior data architecture expertise designing scalable data lakes and data warehouses
• Hands-on with Microsoft Fabric and Azure analytics components
• Understanding of B2B enterprise sales metrics and GTM pipelines
• Ability to deliver architectural designs and rapid technical implementations

Responsabilidades

• Define standards and blueprints for a brand-new centralized data repository optimized for BI and AI consumption
• Map ingestion and synthesis of commercial and operational data across GTM systems (Salesforce, Marketo, Titango, Clary)
• Ensure clean, structured data flows to support AI agent integrations
• Own long-term data strategy while coding initial data models and pipelines
• Translate commercial strategies into technical data models for win/loss and pipeline analytics

Conocimientos

Data architecture

Microsoft Fabric

Azure data analytics

Autonomous & Agile execution

Herramientas

Salesforce

Marketo

Titango

Clary

Descripción del empleo

Intellectsoft is seeking a Senior Data Architect to lead the design of a brand-new data lakehouse and centralized data repository, fueling GTM and enterprise intelligence across the global sales stack.

You will own end-to-end data models, build scalable ETL/ELT pipelines with Microsoft Fabric and Azure analytics, and translate commercial strategy into analytics-ready structures, working in a fast-paced COE environment.