Databricks Data Architect

**Databricks Data Architect** \*\*Job Title: Databricks Data Architect\*\* \*\*Location:\*\* Hybrid \*\*Job Description:\*\* We are seeking a highly skilled Databricks Data Architect with the following qualifications: \*\*Key Responsibilities:\*\* - Design and implement Bronze–Silver–Gold (Medallion) Lakehouse architectures. - Develop dimensional data models (Star/Snowflake schemas) and enterprise-scale data pipelines. - Work extensively with Azure Databricks, Azure Data Factory (ADF), ADLS Gen2, Delta Lake, Delta Live Tables (DLT), Unity Catalog, PySpark, Python, SQL, and Microsoft Fabric. - Implement data governance and architecture best practices. - Utilize Azure DevOps for CI/CD processes, including Terraform for infrastructure as code. - Manage metadata, data lineage, schema validation, and data quality frameworks. - Engage in real-time data engineering using Kafka, Spark Structured Streaming, Microsoft Fabric, Event Hub, Power BI, and Azure cloud services. - Leverage GenAI technologies (LangChain, LangGraph, RAG, Azure OpenAI) to create innovative, AI-ready enterprise data platform solutions. \*\*Qualifications:\*\* - 13+ years of experience as a Senior Data Engineer/Data Architect. - Strong expertise in data architecture, governance, and DevOps. - Proven experience in designing and implementing complex data solutions. - Excellent problem-solving skills and ability to work in a fast-paced environment. If you meet these qualifications and are interested in this opportunity, please apply.