Data Architect

Experience
Must have minimum 3 years of experience in Data Migration and Data Transformation projects on Azure cloud
Proven expertise in building large-scale batch and real-time data pipelines with data processing frameworks in AWS and Azure cloud platforms
Design and develop pipelines, ETL and analytical processes on Azure cloud using data services like Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse including Spark & SQL Pools
Hands-on experience in Microsoft Fabric for implementing end-to-end data pipelines, Real-Time Analytics, OneLake integration, and Data Activator features
Demonstrated experience with ETL development both on-premises and in the cloud using IoT, Azure Stream Analytics, Azure Event Hubs, Azure Databricks, Azure Synapse, SQL, Azure Data Lake, Azure Logic Apps, Power BI, and other ETL technologies
Design and develop highly available, resilient, scalable, and secured data platforms adhering to best practices
Proficient in writing automation scripts using Python and Spark (Scala) for data processing and transformation
Strong analytical skills to solve complex issues in both existing and new code
Solid experience in building cloud data solutions and deep understanding of Cloud Storage, Big Data Platform Services, Serverless Architectures, Hadoop, RDBMS, DW/DM, NoSQL databases, and Cloud Security
Extensive hands-on experience with Azure Data Architecture components: Data Ingestion, Data Integration, Data Pipeline, Data Orchestration tools and streaming services like Event Hubs, Databricks, Stream Analytics, Logic Apps, Data Factory, Data Lakes
Experience in Data Governance, including Data Security, Data Quality, and Access Controls
Skilled in monitoring, debugging, diagnosing, and troubleshooting complex production systems
Self-driven and able to work independently in dynamic and fast-paced environments
Responsibility
Translate business requirements into actionable technical specifications, defining application components, enhancement needs, data models, and integration workflows
Mentor and coach application teams on the adoption of modern tools, technologies, design patterns, and Microsoft Fabric capabilities
Design optimal cloud-hybrid architectures for Big Data, Data Warehousing, and orchestration pipelines, enabling smooth migration from on-premise to Azure Cloud and Microsoft Fabric
Architect and implement end-to-end data platforms using Azure services and Microsoft Fabric, including Real-Time Analytics, OneLake, Data Activator, and unified pipeline orchestration
Ensure all solutions are highly available, resilient, scalable, and secure, adhering to Azure and Fabric best practices
Develop robust automation scripts and transformation logic using Python and Spark for scalable and high-performance data processing
Define enterprise-wide strategies, policies, and best practices for Big Data and Cloud-native data integration and analytics, leveraging both Azure and Fabric platforms
Create and maintain detailed technical design documentation and provide accurate estimations for storage, compute resources, cost efficiency, and operational readiness
Collaborate with clients, internal stakeholders, and delivery teams to align business goals with technical execution, ensuring project success through clear communication and agile delivery