**Responsibilities**: - Lead data teams, and guide and support decisions in terms of data strategies, architecture, modeling, and tools. - Plan and conduct Data projects. - Discovers and elicits business and data requirements. - Design and implement Data architectures on cloud or on-premises. - Develop logical data models for OLTP and OLAP processing. - Develop data pipelines for extracting, cleansing, transforming, and enhancing data. - Team-oriented attitude and the ability to work well with others to achieve a common goal. - Open to working in an agile environment as part of a scrum team. - The ability to take the initiative, drive the project and innovate. - Having a proactive attitude towards solving problems. - Good client-facing skills. **Qualifications and Experience**: - Wide experience leading teams and stakeholder management. - Strong data modeling skills (normalized and multidimensional). - Strong data analysis and SQL skills. - Background and experience with cloud data technologies and tools. - Strong SQL scripting experience. - Experience in distributed computing environments. - Experience implementing ELT process and Data pipelines. - Background and experience with data tools and technologies like: - BigQuery, Redshift, Snowflake, and other Data warehouse tools - Spark, Hadoop, Apache beam, Dataproc or similar. - Real-time pipelines with Kinesis or Kafka. - Batch processing. - Serverless processing. - Proficiency in a programing language like Python, Scala, or similar. - Good leadership and communications skills. - English B2+