Data Architect

DataArchitecture Design: Develop and maintain a comprehensive data architecture strategy that aligns with the business objectives and technology landscape. DataModeling:Createand managelogical, physical, and conceptual data models to support various business applications and analytics. DatabaseDesign: Design and implement database solutions, including data warehouses, data lakes, and operational databases. DataIntegration: Oversee the integration of data from disparate sources into unified, accessible systems using ETL/ELT processes. DataGovernance:Implementand enforce data governance policies and procedures to ensure data quality, consistency, and security. TechnologyEvaluation: Evaluate and recommend data management tools, technologies, and best practices to improve data infrastructure and processes. Collaboration: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and deliver effective solutions. Trusted by the world s leading brands Documentation:Createand maintain documentation related to data architecture, data flows, data dictionaries, and system interfaces. PerformanceTuning: Optimize database performance through tuning, indexing, and query optimization. Security: Ensure data security and privacy by implementing best practices for data encryption, access controls, and compliance with relevant regulations (e.g., GDPR, CCPA) Requirements: Helpingproject teams withsolutions architecture,troubleshooting, and technical implementation assistance. Experiencewithbig data technologies (e.g., Hadoop, Spark, Kafka, Airflow). Expertisewithcloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledgeofdataintegration tools (e.g., Informatica, Talend, FiveTran, Meltano). Understandingofdatawarehousing concepts and tools (e.g., Snowflake, Redshift, Synapse, BigQuery). Experiencewithdata governanceframeworks and tools.