Data Architect

Job Summary We are seeking an experienced Data Architect with strong expertise in Databricks Lakehouse Platform, modern data architectures, cloud technologies, and enterprise data solutions. The ideal candidate will be responsible for designing, implementing, and governing scalable data platforms that support analytics, reporting, AI/ML, and business intelligence initiatives. This role requires deep technical expertise in Databricks, data modeling, cloud data engineering, and architecture best practices. Key Responsibilities Define and implement enterprise-wide data architecture strategies aligned with business objectives. Design scalable and secure data platforms using the Databricks Lakehouse architecture. Architect batch and real-time data ingestion frameworks from multiple source systems. Develop data models, data warehouses, data lakes, and lakehouse solutions. Lead the migration of legacy data platforms to cloud-based modern data architectures. Define data governance, metadata management, data quality, lineage, and security standards. Collaborate with business stakeholders, data engineers, analysts, and data scientists to understand requirements and translate them into technical solutions. Establish architecture frameworks, best practices, and reusable design patterns. Optimize data pipelines and platform performance for scalability and cost efficiency. Support advanced analytics