Data Architect

As a highly skilled and strategic Data Architect with expertise in the Azure Data ecosystem, your role at Lexmark involves defining and driving the overall Azure-based data architecture strategy aligned with enterprise goals. You will architect and implement scalable data pipelines, data lakes, and data warehouses using Azure Data Lake, ADF, and Azure SQL/Synapse. Providing technical leadership on Azure Databricks for large-scale data processing and advanced analytics use cases is a crucial aspect of your responsibilities. Key Responsibilities: - Architect and implement scalable data pipelines, data lakes, and data warehouses using Azure Data Lake, ADF, and Azure SQL/Synapse. - Provide technical leadership on Azure Databricks for large-scale data processing and advanced analytics use cases. - Integrate AI/ML models into data pipelines and support the end-to-end ML lifecycle including training, deployment, and monitoring. - Collaborate with cross-functional teams such as data scientists, DevOps engineers, and business analysts. - Evaluate and recommend tools, platforms, and design patterns for data and ML infrastructure. - Mentor data engineers and junior architects on best practices and architectural standards. Qualifications Required: - Strong background in data modeling, ETL/ELT frameworks, and data warehousing concepts. - Proficiency in SQL, Python, PySpark, and a solid understanding of AI/ML workflows and tools. - Exposure to Azure DevOps. - Excellent communication and stakeholder management skills. If you are an innovator looking to make your mark with a global technology leader, apply now to join our team in Kolkata, India.,