Intellectsoft is a software development company delivering innovative solutions since 2007. We operate globally and partner with startups, mid-sized businesses, and Fortune 500 companies to drive innovation and scale. We are seeking a Senior Data Architect who blends deep data engineering expertise with strong business acumen to design and build the data architecture that fuels our Sales and Go-To-Market (GTM) strategies. This role synthesizes complex commercial data—such as win/loss analyses, lead times, and sales pipelines—into actionable business intelligence using an enterprise Microsoft technology stack. The ideal candidate has extensive experience as a Data Architect or Lead Data Engineer with a focus on business and sales intelligence, and deep expertise in the Microsoft Data Stack (Azure Data Factory, Azure Synapse, Microsoft Fabric, Databricks, or Power BI). Requirements include strong experience in data modeling, data warehousing, and ETL/ELT pipeline design, and the ability to analyze and structure commercial metrics (win/loss, pipeline velocity, sales cycles). Excellent English communication skills are required. Responsibilities include designing, building, and optimizing the data architecture to support sales, marketing, and GTM strategies; synthesizing disparate data sources into cohesive data models; collaborating with business stakeholders to translate GTM questions into technical data requirements; and ensuring data scalability, security, and governance across the analytics pipeline within the Microsoft ecosystem. Benefits include Udemy courses of your choi

Intellectsoft is a software development company delivering innovative solutions since 2007. We operate globally and partner with startups, mid-sized businesses, and Fortune 500 companies to drive innovation and scale. We are seeking a Senior Data Architect who blends deep data engineering expertise with strong business acumen to design and build the data architecture that fuels our Sales and Go-To-Market (GTM) strategies. This role synthesizes complex commercial data—such as win/loss analyses, lead times, and sales pipelines—into actionable business intelligence using an enterprise Microsoft technology stack. The ideal candidate has extensive experience as a Data Architect or Lead Data Engineer with a focus on business and sales intelligence, and deep expertise in the Microsoft Data Stack (Azure Data Factory, Azure Synapse, Microsoft Fabric, Databricks, or Power BI). Requirements include strong experience in data modeling, data warehousing, and ETL/ELT pipeline design, and the ability to analyze and structure commercial metrics (win/loss, pipeline velocity, sales cycles). Excellent English communication skills are required. Responsibilities include designing, building, and optimizing the data architecture to support sales, marketing, and GTM strategies; synthesizing disparate data sources into cohesive data models; collaborating with business stakeholders to translate GTM questions into technical data requirements; and ensuring data scalability, security, and governance across the analytics pipeline within the Microsoft ecosystem. Benefits include Udemy courses of your choi