DATA ARCHITECT
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Role details
Tech stack
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Job description
Design and develop scalable data architecture and data engineering solutions. Build and optimize data pipelines using Spark, Scala, Hive SQL, and Google Cloud Platform technologies. Develop ETL/ELT processes for large and complex datasets. Design efficient data models for analytical and enterprise data platforms. Work with BigQuery and Google Cloud Storage to implement cloud-based data solutions. Collaborate with business, technical, and engineering teams to understand requirements and deliver data solutions. Ensure data quality, performance, scalability, and reliability. Support analytics and reporting requirements, including Power BI integrations.
Requirements
Strong hands-on experience in Data Engineering / Data Architecture Experience with Scala, Spark, Hive SQL Strong Google Cloud Platform experience, including BigQuery and Google Cloud Storage Solid understanding of ETL and Data Modeling Experience working with large-scale data environments Strong communication and problem-solving skills
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