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Data Architect – Enterprise Data Lake & AI

Intellectsoft

Senior 🇬🇧 English
Microsoft Fabric Azure data analytics Data lake Data warehouse ETL ELT Salesforce Marketo Titango Clary

Job description

About the role

As a foundational Data Architect within the newly created AI Center of Excellence, you will design and build a centralized enterprise data repository that powers both business intelligence and AI-driven workflows. Your work will directly support the company’s global sales and go‑to‑market strategies.

Key responsibilities

  • Define standards, blueprints, and architecture for a brand‑new data lakehouse optimized for BI and AI agents.
  • Map, ingest, and synthesize commercial and operational data from critical GTM systems such as Salesforce, Marketo, Titango, and Clary.
  • Ensure data readiness for agentic workflows by delivering clean, structured, and reliable data pipelines.
  • Write and maintain ETL/ELT pipeline code, balancing long‑term strategy with rapid delivery of quick‑win solutions.
  • Translate raw commercial data into analytics‑ready models and business metrics.

Required profile

  • Extensive experience designing scalable enterprise data lakes, warehouses, and complex ETL/ELT pipelines from scratch.
  • Deep, hands‑on expertise with the Microsoft data ecosystem, especially Microsoft Fabric and Azure analytics services.
  • Strong understanding of B2B sales metrics and GTM processes, with the ability to model commercial data for analytics.
  • Proven ability to work autonomously in a fast‑paced environment without legacy data standards.

Required skills

  • Microsoft Fabric
  • Azure data analytics components (e.g., Azure Synapse, Azure Data Factory)
  • Data lake and data warehouse design
  • ETL/ELT pipeline development
  • Salesforce integration
  • Marketo integration
  • Experience with Titango and Clary platforms

What we offer

  • Opportunity to shape the data foundation for a global AI initiative.
  • Collaborative environment with cutting‑edge technologies.
  • Exposure to diverse industries such as FinTech, Healthcare, EdTech, Construction, and Hospitality.

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Published 1 month ago

Expires 2 days from now

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