Data Architect

Must Have Technical / Functional Skills :

• Strong expertise in data modeling techniques (conceptual, logical, physical).
• Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).
• In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery)
• Experience with big data platforms (e.g., Hadoop, Spark, Kafka).
• Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud).
• Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica).
• Proficiency in data integration tools and technologies
• Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus.
• Deep understanding of data governance frameworks and best practices.
• Knowledge of security protocols, data privacy regulations (e.g., GDPR, CCPA), and how they apply to data architecture

Roles & Responsibilities :