Sr. Data Architect (Databricks)

Techwave , we are always in an exercise to foster a culture of growth, and inclusivity. We ensure whoever is associated with the brand is being challenged at every step and is provided with all the necessary opportunities to excel in life. People are at the core of everything we do. Who are we? Techwave  is a leading global IT and engineering services and solutions company revolutionizing digital transformations. We believe in enabling clients to maximize the potential and achieve a greater market with a wide array of technology services, including, but not limited to, Enterprise Resource Planning, Application Development, Analytics, Digital, and the Internet of things (IoT). Founded in 2004, headquartered in Houston, TX, USA, Techwave leverages its expertise in Digital Transformation, Enterprise Applications, and Engineering Services to enable businesses accelerate their growth. Plus, we're a team of dreamers and doers who are pushing the boundaries of what's possible. And we want  YOU  to be a part of it. Job Description Solution Architecture Design end-to-end Lakehouse architectures using Databricks. Define enterprise data architecture aligned with business and technology strategies. Lead cloud data modernization and migration initiatives. Develop scalable, secure, and highly available data platforms. Data Engineering Design ETL/ELT frameworks using Apache Spark and Databricks. Architect batch and real-time streaming data pipelines. Design Medallion Architecture (Bronze, Silver, Gold). Define data ingestion strategies for structured, semi-structured, and unstructured data. Implement Change Data Capture (CDC) and incremental processing. Data Modeling Design enterprise data models using: Dimensional Modeling Star Schema Snowflake Schema Data Vault Build semantic models for reporting and analytics. Databricks Platform Architecture Design and optimize: Delta Lake Unity Catalog Databricks Workflows Delta Live Tables (DLT) Databricks SQL MLflow Lakeflow (where applicable) Establish workspace standards and architecture patterns. Define notebook, job, and code organization strategies. Performance & Cost Optimization Optimize Spark jobs and SQL workloads. Improve partitioning, clustering, and file layouts. Reduce cloud infrastructure costs through autoscaling and efficient cluster sizing. Implement monitoring for compute utilization and query performance. Security & Governance Implement Unity Catalog for centralized governance. Design role-based access control (RBAC). Configure row-level and column-level security. Establish metadata management, lineage, and auditing. Ensure compliance with enterprise security and regulatory standards. AI & Advanced Analytics Architect AI/ML platforms using Databricks. Enable ML lifecycle management with MLflow. Design data pipelines for machine learning workloads. Support Generative AI and Retrieval-Augmented Generation (RAG) solutions by integrating Databricks…