Data Engineering Architect

BEPC Inc. is a 100% employee-owned company providing top-tier consulting and staffing solutions. They are seeking a highly motivated Data Engineering Architect to support the design, development, and optimization of enterprise-scale data platforms on Microsoft Azure.

Responsibilities:

• Design and implement end-to-end data architectures on Azure, including data lakes, data warehouses, and real-time processing systems
• Architect and optimize ETL/ELT pipelines using Azure services such as Data Factory, Synapse, and Microsoft Fabric
• Define and enforce data governance, security, and compliance frameworks across the data ecosystem
• Lead the integration of data from multiple sources (ERP, APIs, IoT, databases) into unified data platforms
• Collaborate with data engineers, analysts, and business stakeholders to deliver data-driven solutions aligned with business goals
• Evaluate and recommend Azure-native and third-party tools to enhance performance, scalability, and cost efficiency
• Drive adoption of modern data practices, including real-time analytics, streaming, and AI/ML integration
• Provide technical leadership and mentorship to data engineering teams
• Ensure high availability, reliability, and performance of data systems

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
• 7+ years of experience in data engineering, with 2+ years in a data architecture or leadership role
• Strong expertise in Microsoft Azure data services, including: Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, Azure Databricks
• Advanced proficiency in SQL and Python
• Experience with data modeling techniques (star schema, Data Vault, normalized models)
• Strong understanding of distributed systems and big data processing
• Experience with CI/CD pipelines and DevOps practices in data environments
• Experience with real-time data streaming (Azure Event Hubs, Kafka)
• Knowledge of Power BI or enterprise BI tools
• Familiarity with machine learning pipelines and MLOps
• Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect)