Senior Data Architect - AI Lakehouse for GTM (Remote)

Intellectsoft; Poland; Remote; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Udemy courses

Team events and activities

Workshops and trainings

Clear career path

Absence days for work-life balance

Flexible hours & remote work

Job summary

Intellectsoft is seeking a Senior Data Architect to lead the design of a new centralized data repository, optimized for BI and AI agent consumption, across global GTM systems. You will define standards and build end-to-end data pipelines while shaping the data strategy for enterprise intelligence.

The role requires hands-on implementation skills, deep knowledge of the Microsoft data stack, and the ability to translate commercial strategies into scalable data models.

Qualifications

• Extensive experience designing scalable enterprise data lakes and data warehouses.
• Hands-on expertise with the Microsoft data stack, especially Microsoft Fabric and Azure analytics.
• Strong business acumen in B2B GTM metrics and sales pipelines.
• Ability to deliver architectural designs and rapid data-driven implementations without legacy data constraints.

Responsibilities

• Define standards and blueprints for a brand-new centralized data repository optimized for BI and AI consumption.
• Map ingestion and synthesis of commercial data across GTM systems (Salesforce, Marketo, Titango, Clari).
• Ensure data readiness for agentic workflows with clean, structured data and reliable data flows.
• Own the long-term data strategy while contributing to hands-on pipeline development and data model construction.
• Translate commercial strategies into analytics-ready data models for win/loss, pipelines, and cycle times.

Skills

Data lakehouse

Microsoft Fabric

Azure data analytics

GTM/Sales data

Tools

Salesforce

Marketo

Titango

Clari

Job description

Intellectsoft is seeking a Senior Data Architect to lead the design of a new centralized data repository, optimized for BI and AI agent consumption, across global GTM systems. You will define standards and build end-to-end data pipelines while shaping the data strategy for enterprise intelligence.

The role requires hands-on implementation skills, deep knowledge of the Microsoft data stack, and the ability to translate commercial strategies into scalable data models.