2 дня назад
Senior Data Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Architect (AI): Building a centralized enterprise data lakehouse for Sales and Go-to-Market intelligence with an accent on Microsoft Fabric, Azure analytics, commercial data integration, and AI-ready data structures. Focus on designing scalable data architecture, implementing ETL/ELT pipelines from scratch, integrating Salesforce and other GTM systems, and modeling sales performance metrics for agentic workflows.
Location: Remote from Poland, Spain, Portugal, Brazil, Argentina, or Colombia
Company
is a software development company delivering scalable digital solutions for startups, mid-sized businesses, and Fortune 500 companies across multiple industries.
What you will do
- Define the standards, blueprints, and architecture for a centralized enterprise data lakehouse supporting business intelligence and AI agent consumption.
- Design and implement ingestion and integration pipelines for Salesforce, Marketo, Titango, Clary, and other commercial and operational systems.
- Build clean, structured, and reliable data flows that minimize data preparation for AI engineering teams and support API-driven agent integrations.
- Develop the initial data models and pipeline code while owning the long-term data strategy.
- Translate commercial and Go-to-Market strategies into models for win/loss analysis, sales pipelines, cycle velocity, and operational lead times.
Requirements
- Senior-level experience designing enterprise data lakes, data warehouses, and complex ETL/ELT pipelines from scratch.
- Hands-on expertise with Microsoft Fabric and Azure data analytics components.
- Strong understanding of B2B enterprise sales metrics, commercial data, and Go-to-Market pipelines.
- Ability to work independently without established data standards and deliver both architectural designs and rapid technical implementations.
Culture & Benefits
- Remote work from any of the listed locations with flexible hours and work setup.
- Udemy courses of choice, workshops, trainings, and expert knowledge-sharing.
- Team-building events, marathons, and charity activities.
- Clear career path and absence days supporting work-life balance.
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