MAS Global is a purpose-driven digital engineering partner, delivering scalable, high-impact software solutions for global enterprises and startups alike. With a nearshore, agile delivery model and a focus on quality, transparency, and innovation, we help our clients drive digital transformation with speed and impact. Who You Are You are a seasoned Data Engineer or Data Architect with deep expertise in designing, building, and optimizing scalable data pipelines, architectures, and systems. You’re passionate about data integrity, reliability, and enabling advanced analytics. You enjoy working cross-functionally and thrive in a fast-paced, agile environment. Your Responsibilities Design and implement scalable, high-performance data architectures in Azure, supporting both structured and unstructured data sources. Lead the development and evolution of enterprise data platforms, ensuring seamless transition from engineering to architectural solutions. Build, automate, and optimize robust ETL/ELT pipelines using Azure Data Factory, SSIS, and related tools. Model and manage data structures for performance, scalability, and maintainability across data lakes and data warehouses. Collaborate with stakeholders across business, analytics, and engineering teams to translate data needs into reliable, future-proof technical solutions. Define and enforce data architecture best practices, including data governance, lineage, cataloging, and quality standards. Support CI/CD practices for data solutions and ensure alignment with security, privacy, and compliance requirements (e.g., GDPR). Guide the modernization of legacy systems and data workflows using Azure-native services. Required Skills and Experience 7+ years of progressive experience in data engineering, with at least 2 years in a data architecture role focused on scalable, enterprise-grade solutions. Advanced proficiency in SQL and performance tuning of large-scale relational databases (primarily SQL Server). Experience designing scalable data models and implementing modern warehousing techniques (e.g., dimensional modeling, Data Vault, Kimball). Deep understanding of ETL/ELT workflows using SSIS and orchestration tools, with version control in TortoiseSVN or similar. Skilled in automation and workflow management using tools like Autosys , Visual Studio , and scripting with SQL or PowerShell . Strong communication skills and ability to work closely with cross-functional and non-technical stakeholders. #J-18808-Ljbffr