Principal Cloud Data Engineer

5+ years in data engineering and solution architecture within enterprise-scale environments. Specializing in Azure technologies. Hands-on expertise with the Azure data platform (Fabric, ADF, Synapse, Databricks, ADLS, SQL DB, Purview). Client-facing experience and stakeholder engagement. Strong skills in solutioning and project estimation. Practical knowledge of data modelling principles (star, snowflake, dimensional, SCD). Expert in SQL and Python; experience with R, Scala, or Java is a plus. Experience designing and implementing scalable ETL/ELT pipelines. Experience leading platform migrations (e.g., Azure Synapse). Strong understanding of CI/CD, Git, automated testing, and IaC. Strong knowledge and implementation of cloud security best practices. Experience monitoring cloud services and optimizing performance/costs.

Guide C-level executives on data strategy, AI, and analytics. Shape and implement data initiatives aligned with business outcomes. Design and deliver end-to-end data solutions in the cloud. Lead data maturity assessments and create roadmaps. Champion data governance, AI adoption, and self-service analytics. Drive business development and pre-sales activities. Leverage the Azure data stack to build data platforms. Lead creation and implementation of data pipelines and CI/CD. Collaborate with stakeholders on architectural standards and compliance. Build and maintain strong client relationships.