Job 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.