- Workplace
- Remote
- Department
- Engineering
- Seniority
- Lead
- Source
- Freshteam
Description
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.