Lead Azure Data Engineer

Company Description MetaHarbour Group Pvt Ltd is an IT Staffing and AI Consulting firm committed to driving workforce excellence and digital innovation. Specializing in contract staffing, permanent recruitment, workforce consulting, and AI-driven advisory services, the company focuses on aligning top talent with clients' strategic objectives. With a consultative approach and domain expertise, MetaHarbour ensures scalable growth and operational excellence for its partners. The organization values long-term partnerships built on trust, performance, and transformative business solutions.

Role Description This is a contract remote role for a Lead Azure Data Engineer. The individual will be responsible for designing and developing scalable data solutions using Azure tools and technologies. Key responsibilities include data modeling, building and implementing ETL pipelines, creating and managing data warehouses, and delivering actionable insights via advanced data analytics. Collaboration with cross-functional teams to optimize data processes and ensure enterprise data needs are met is also part of the role.

Qualifications ●

8+ years of experience in data engineering, cloud data integration, or analytics platform development. ●

Strong hands-on experience with: Azure Data Factory (ADF) – dynamic pipelines, triggers, integration runtimes Databricks – Spark / PySpark development, Delta Lake, job orchestration Azure Data Lake Storage (ADLS Gen2) ●

Proven experience implementing Medallion architecture in production environments. ●

Strong SQL skills and working knowledge of Python for transformations and automation. ●

Experience enabling analytics and BI platforms through Databricks or similar data backends. ●

Solid understanding of CI/CD practices applied to data platforms and multi-environment deployments. ●

Strong grasp of security, identity, and access management in cloud data environments. ●

Ability to operate effectively in complex, enterprise, multi-stakeholder settings. ●

Clear, concise communication skills and the ability to translate technical concepts for non-technical partners. ●

Availability during Mountain Standard Time (MST) working hours.