We are seeking an experienced Data Architect with a strong background in Databricks to join our team and be part of innovative projects. The ideal candidate will have a deep understanding of data architecture principles, excellent analytical skills, and hands-on experience with designing and implementing data solutions using Databricks. Responsibilities: Design and implement scalable, reliable, and efficient data architecture solutions using Databricks or other platforms. Collaborate with cross-functional teams to gather requirements, define data architecture strategies, and drive data initiatives. Develop and maintain data models, schemas, and data pipelines to support business needs. Optimize data storage, processing, and retrieval for performance and cost-effectiveness. Ensure data quality, integrity, and security throughout the data lifecycle. Provide technical guidance and support to data engineers, analysts, and other stakeholders. Stay current with industry trends, best practices, and emerging technologies in data architecture and Databricks. Qualifications: Bachelors or Masters degree in Computer Science, Information Systems, or a related field. 5 years of experience as a Data Architect or a similar role. Experience in IT project management is preferred. Proven experience with Databricks, including Databricks Runtime, Delta Lake, and Apache Spark. Strong understanding of data modeling concepts, data warehousing principles, and ETL/ELT processes. Proficiency in SQL, Python, or Scala for data manipulation and analysis. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Excellent communication skills with the ability to collaborate effectively with technical and non-technical stakeholders. Strong problem-solving skills and attention to detail. Certifications in Databricks or related technologies (preferred). Experience in Agile methodologies and practices. #J-18808-Ljbffr