Senior Data Architect

Role Overview: As a Data Architect / Senior Data Architect, you will be responsible for leading the design, development, and delivery of state-of-the-art data platforms utilizing Azure, Databricks, and GenAI technologies. Your role will involve collaborating with cross-functional teams comprising data scientists, developers, and business leaders to provide scalable, secure, and innovative data solutions from start to finish. Key Responsibilities: - Architect and implement data platforms using Azure and the Databricks ecosystem. - Lead end-to-end Data Lakehouse projects, including the implementation of Medallion Architecture. - Drive hands-on development utilizing PySpark, SQL, and adhering to DevOps (CI/CD) best practices. - Construct and enhance metadata-driven frameworks and data models focusing on Dimensional & 3NF structures. - Work collaboratively across teams to design AI/GenAI-powered data solutions. - Mentor and guide data engineers while promoting a culture of technical excellence. - Contribute to organization-wide efforts in capability building, architecture governance, and solution innovation. Qualifications required: - Proficiency in Azure Databricks components such as Delta Lake, Unity Catalog, Delta Live Tables, and Workflows. - Advanced skills in PySpark & SQL for data transformation and performance optimization. - Experience with Azure Services including ADF, ADLS Gen2, Event Hub, and Stream Analytics. - Familiarity with DevOps / CI-CD Pipelines using tools like Git, Jenkins, or Azure DevOps. - Strong understanding of Data Modeling principles encompassing Dimensional & 3NF structures. - Knowledge in Gen AI / LLM-based application development. (Note: No additional details about the company were provided in the job description.),