Sr. Data Bricks Solution Architect

Title- Data Bricks Solution Architect Location: Dallas, TX, Onsite, Hybrid, 3 Days/week Role Summary We are seeking a highly skilled Databricks Solution Architect to lead the design and implementation of scalable, enterprise-grade data platforms using the Databricks Lakehouse Platform. The ideal candidate will combine strong technical expertise in data engineering and cloud platforms (AWS/Azure/GCP) with architectural leadership, solution design capability, and strong stakeholder engagement skills. Required Skills & Experience: Technical Skills Databricks Expertise • Strong hands-on experience with Databricks (clusters, notebooks, Delta Lake, MLflow, Unity Catalog). Cloud Platforms • Experience with at least one cloud provider (AWS, Azure, GCP). Data Engineering • Strong proficiency in Spark, Python, SQL, and distributed data processing. Architecture • Experience designing large-scale data solutions including ingestion, transformation, storage, and analytics. Streaming • Experience with streaming technologies (Structured Streaming, Kafka, Kinesis, EventHub). DevOps • CI/CD practices for data pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.). Soft Skills • Strong communication skills with the ability to engage both technical and business teams. • Experience working in Agile environments. • Ability to simplify complex technical concepts for non-technical audiences. • Strong analytical, problem-solving, and decision-making abilities. Preferred Qualifications • Databricks Certified Data Engineer Professional / Architect certification. • AWS/Azure/GCP cloud architect certifications. • Experience with BI tools (Tableau, Power BI, Looker). • Experience in machine learning workflows and ML operations. • Background in large-scale data modernization or cloud migration projects.