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