Data Architect

Intellectsoft, за кордоном

Що робити

Data Lakehouse Architecture for AI & GTM: Define the standards, blueprints, and architectural design for a brand-new, centralized data repository built from the ground up, optimized for both business intelligence and AI agent consumption.
Enterprise Integration Strategy: Map out and execute the ingestion and synthesis of commercial and operational data points across critical GTM systems, including Salesforce, Marketo, Titango, and Clary.
Data Readiness for Agentic Workflows: Ensure that the data lake structures provide clean, structured, and highly reliable data flows, minimizing the need for data prep by the AI engineering teams and enabling seamless API-driven agent integrations.
Hands-on Pipeline Execution: Operate in a highly agile, “build-it-yourself” delivery model. You will own the long-term data strategy while simultaneously rolling up your sleeves to write the pipeline code required to construct the initial data models.
Business Metric Synthesis: Translate complex commercial strategies into technical data models, structuring datasets to analyze win/loss records, sales pipelines, cycle velocities, and operational lead times

Senior Data Architecture Expertise: Extensive track record designing scalable enterprise data lakes, data warehouses, and complex ETL/ELT data pipelines from scratch.
Mastery of the Microsoft Data Stack: Deep, hands-on technical proficiency with the modern Microsoft ecosystem, specifically Microsoft Fabric, alongside Azure data analytics components.
Commercial & GTM Business Acumen: Strong familiarity with B2B enterprise sales metrics and pipelines, with the ability to turn raw commercial data into highly structured, analytics-ready models.
Autonomous & Agile Execution: Proven capability to work independently in an environment without pre-existing data legacy standards, delivering architectural designs alongside concrete, rapid technical implementations to support immediate COE quick wins.