Sr Azure Data Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Blue Signal, is seeking the following. Apply via Dice today! Sr Azure Data Engineer Join a dynamic consulting team as a Sr Azure Data Engineer, where your expertise will directly influence enterprise-scale digital transformations. This fully remote contract role offers the chance to lead cutting-edge Azure-based data architecture and modernization projects for high-profile clients. It s ideal for a seasoned engineer seeking a fast-paced challenge with the potential for long-term collaboration. This contract is a unique chance to work on some of the most advanced and strategic data initiatives in the Microsoft ecosystem. If you re passionate about modernizing data platforms and enabling impactful analytics at scale, this role offers the tools, autonomy, and support to thrive. Note: This is a contract role and 100% remote. This Role Offers: • 100% remote flexibility with no travel expectations, providing true work-life balance. • The opportunity to work on high-impact projects modernizing enterprise-scale data environments. • A fast-paced contract role with strong potential for long-term engagement or conversion to full-time. • Exposure to cutting-edge Azure technologies and modern architecture strategies (Microsoft Fabric, Lakehouse, DevOps, etc.). • Direct collaboration with senior stakeholders and a visible role in delivering transformational data solutions. • A supportive and innovative team culture focused on excellence, continuous learning, and problem-solving. Focus: • Design and deploy scalable cloud data solutions using a combination of Azure Data Lake, Azure SQL, Synapse Analytics, and Databricks. • Lead the modernization of legacy data environments, transitioning solutions from on-premises tools to modern Azure-native architectures. • Build robust enterprise data warehouses and dimensional models using best practices for cloud performance and scalability. • Define and optimize data flow architectures, including medallion layering (Bronze, Silver, Gold) for structured processing pipelines. • Develop and maintain semantic data layers and build advanced Power BI dashboards for actionable business intelligence. • Partner with business and technical stakeholders to translate analytical goals into scalable cloud solutions. • Implement CI/CD and infrastructure-as-code practices using tools such as Azure DevOps, Terraform, Bicep, or ARM templates. • Monitor, troubleshoot, and continuously improve pipeline performance and system reliability. • Participate in full SDLC activities including planning, development, testing, deployment, and ongoing documentation. • Stay ahead of industry trends and emerging technologies in cloud data engineering and analytics. Skill Set: • Bachelor s degree in Computer Science, Engineering, or a related discipline. • 6+ years of experience working with Azure-native data technologies, including Data Factory, ADLS, Synapse, and Azure SQL. • Strong background in ETL processes, data modeling, and enterprise-grade data architecture. • Proficiency in Lakehouse paradigms, semantic layer design, and modern data platform operations. • Practical experience implementing DevOps principles in a data environment, especially with Azure DevOps and infrastructure automation tools. • Previous experience in a consulting or client-facing role, managing multiple projects and environments. • Excellent communication skills with the ability to interface across technical and business teams. • Exposure to Microsoft Fabric, Snowflake, or Databricks. • Familiarity with AI/ML tools and notebooks using Python or R in cloud environments. • Knowledge of enterprise data resiliency, including HA and disaster recovery planning. About Blue Signal: Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS