Job Description: Azure Data Platform Lead Position Overview Lead the design, implementation, and optimization of enterprise-scale Azure data platform solutions, driving modern data architecture initiatives and establishing best practices for data engineering and analytics. Key Responsibilities Platform Architecture & Strategy: • Design and implement scalable data platform architectures using Azure services (Synapse, Data Factory, Fabric, SQL Database) • Establish data lakehouse and data warehouse solutions with medallion architecture patterns • Define data governance frameworks, security protocols, and compliance standards • Lead platform evaluations, vendor selections, and technology roadmap planning Technical Implementation: • Architect data ingestion pipelines from diverse sources including databases, APIs, files, and streaming systems • Design and optimize ETL/ELT processes using SQL, Python, Spark, and Azure native services • Implement data quality frameworks, monitoring, and alerting systems • Establish CI/CD pipelines for data workflows and infrastructure as code Integration & Optimization: • Design seamless integrations with BI tools, analytics platforms, and downstream systems • Optimize performance, cost, and scalability through automated resource management • Enable advanced analytics and machine learning capabilities on the platform • Lead data migration projects and platform modernization initiatives Required Qualifications Technical Expertise: • 7+ years Azure data platform experience (Data Factory, Synapse Analytics, SQL Database, Storage) • Expert-level SQL, Python, and experience with Apache Spark (PySpark/Scala) • Strong understanding of data architecture patterns, data modeling, and distributed systems • Experience with Azure DevOps, ARM templates, and infrastructure automation • Knowledge of data governance tools and frameworks (Microsoft Purview preferred) Platform Experience: • Hands-on experience with modern data stack components and cloud-native architectures • RESTful API integration, real-time streaming, and batch processing systems • Enterprise data warehouse and analytics platform implementation • Performance tuning, cost optimization, and capacity planning experience Leadership & Communication: • Proven ability to lead technical teams and mentor junior engineers • Experience presenting technical solutions to stakeholders at all levels • Strong documentation and knowledge transfer capabilities • Project management experience with data platform initiatives Preferred Qualifications • Microsoft Azure certifications (Data Engineer Associate, Solutions Architect Expert) • Experience with Microsoft Fabric and Power Platform integration • Machine learning and AI model deployment experience • Multi-cloud platform knowledge and cloud migration experience • Industry-specific data architecture experience (retail, financial services, healthcare) About Us At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.
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