Technical Lead – Data Engineer

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ProArch

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

Artificial Intelligence • Cybersecurity • Cloud

ProArch is a technology company that specializes in providing digital engineering, cloud services, data and AI solutions, and cybersecurity measures. They help businesses unleash their full potential by modernizing operations, protecting assets, and delivering data-driven insights. ProArch works closely with clients to eliminate roadblocks to growth and aligns advanced technology solutions with business goals to empower organizational success. As an award-winning Microsoft Gold Partner, they offer a wide range of services including AI consulting, software development, quality assurance, infrastructure management, governance, risk, and compliance solutions, and operational technology services. Their expertise extends to industries such as credit unions, power generation, and manufacturing, providing tailored solutions to meet each sector's unique challenges.

📋 Description

• Design and implement end-to-end data pipelines using Microsoft Fabric (Data Factory, Lakehouse, Notebooks) • Build scalable data architectures leveraging medallion (Bronze/Silver/Gold) patterns and lakehouse models • Develop robust and optimized ETL/ELT pipelines for structured and semi-structured data • Integrate data from multiple enterprise sources (SQL Server, APIs, cloud platforms) • Design and develop semantic models and data models for reporting and analytics • Build optimized data models (facts, dimensions, relationships) for Power BI reporting • Enable Direct Lake / real-time analytics scenarios and reporting performance optimization • Work closely with BI teams to ensure high-performing dashboards and reports • Interface directly with US stakeholders to understand business requirements and reporting needs • Participate in requirement gathering, solution walkthroughs, and design discussions • Translate business requirements into scalable technical solutions • Provide regular status updates, demos, and technical insights to client teams • Define and implement Fabric-based data architectures aligned with enterprise standards • Ensure data governance, data quality, and security best practices • Optimize performance, scalability, and cost across data pipelines and storage • Collaborate with architects and cross-functional teams

🎯 Requirements

• Strong experience with Microsoft Fabric / Azure Data Platform • Hands-on experience with: • - Fabric Lakehouse, Data Factory, Dataflows / Pipelines • - Power BI (Data modeling, DAX, performance tuning) • - SQL, Python, PySpark • Expertise in data modeling (dimensional modeling, star/snowflake schemas) • Experience building scalable data pipelines and distributed processing systems • Experience with CI/CD, version control, and deployment pipelines • Strong debugging, performance tuning, and problem-solving skills • 5–10 years of experience in Data Engineering • Minimum 2+ years of experience in Microsoft Fabric or modern analytics stack • Demonstrated experience in client-facing roles with US stakeholders