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Tier-1 brand, metro location, mid-level generalist data role with broad Azure requirements increases competition.
Requires financial-services data platform experience and Azure expertise, reducing cross-industry transferability.
Explicit 7+ years, 5+ years platform experience plus Azure-specific tech and certifications create stringent filters.
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Lead design, implementation, and delivery of scalable cloud data engineering solutions using Microsoft Azure Fabric and related services.
Own development and maintenance of secure, high-performance data pipelines and platforms, ensuring compliance with security and data quality standards.
Manage team collaboration, mentoring developers, and coordinate with stakeholders to align data solutions with business needs.
7+ years of IT experience with 5+ years in Data Platforms, specifically within Financial Services industry.
Strong expertise in Azure data services including Fabric, Synapse Analytics, Data Factory, Databricks, Azure Data Lake Storage, and Microsoft Purview.
Proficient in Python (3.x), OOP, REST APIs, microservices, Terraform for IaC, and DevOps practices including CI/CD and containerization.
Preferred certifications: Azure DP-203 (Data Engineering on Azure) and DP-900 (Azure Data Fundamentals).
Experienced in leading complex Azure cloud data engineering projects with a focus on enterprise-grade data platforms in financial services.
Capable of handling end-to-end data platform architecture, from ingestion to transformation, security, and optimization.
Skilled in cross-team collaboration, mentoring, and promoting best practices in coding, security, and performance.