Sr. Data / Data Solutions Architect - Databricks

We are looking for an experienced Data Solutions Architect to design scalable, secure, and modern data solutions for enterprise data and AI initiatives. Responsibilities Translate business requirements into end-to-end data solution architectures Design solutions using Data Warehouse, Data Lake, Lakehouse, Lambda, and Kappa architecture patterns Lead architecture design, technical feasibility assessments, and solution reviews Design and support cloud data platforms and data modernization initiatives Work on migration and transformation projects involving Azure Databricks and Databricks Lakehouse Guide data engineering, analytics, cloud, and DevOps teams Ensure solutions meet scalability, performance, security, governance, and cost requirements Requirements 12-22 years of overall experience in IT, including experience in data architecture, solution architecture, or data engineering Strong experience designing production-ready data architectures Hands-on experience with Azure, AWS, or GCP Strong knowledge of Databricks, Apache Spark, and Delta Lake Proficiency in SQL and modern data platforms Understanding of batch, streaming, ETL/ELT, data modeling, and data governance Excellent communication, stakeholder management, and problem-solving skills Nice to have Proficiency in Python, Java, or Scala Familiarity with Informatica MDM, Celonis, or Azure Data Factory Background in cloud migration or data and AI platforms