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Data Architect

2 months ago

Tamil Nadu, India Wavicle Data Solutions Full time
  1. Multiple years of hands-on experience working as a data architect on Azure or AWS or Snowflake cloud ecosystems.
  2. Designing & implementing the organization's data architecture, including data models, data flows, and data storage solutions.
  3. Creating and maintaining data dictionaries and data maps to document data sources, data types, and data relationships.
  4. Collaborating with business analysts to understand business requirements and develop data solutions that meet those requirements.
  5. Working with data scientists and data analysts to ensure that data is available, accurate, and accessible for analysis.
  6. Developing data security and privacy policies and procedures to ensure that sensitive data is protected.
  7. Evaluating new data technologies and tools to determine if they are appropriate for the organization's needs.
  8. Working with IT teams to implement data solutions and ensure that they integrate with existing systems and applications.
  9. Providing technical guidance and support to other teams and stakeholders to ensure that they can effectively use and manage
  10. Need to have a strong background in data management, database design, and programming.
  11. Good experience with data modeling and data visualization tools and familiar with data warehousing and business intelligence concepts
  12. AWS certifications, such as AWS Certified Solutions Architect and AWS Certified Data Analytics - Specialty, are preferred.
  13. Snowflake certifications, such as SnowPro Core and SnowPro Advanced, are preferred.
  14. Azure certifications, such as Azure Solutions Architect Expert and Azure Data Engineer Associate, are preferred.
  15. Experience in designing and implementing data solutions on Azure cloud platforms, such as Azure SQL Database, Azure Cosmos DB, and Azure Synapse Analytics.
  16. Experience in designing and implementing data solutions on the Snowflake cloud platform, including data modeling, data flow, and data storage solutions.
  17. Experience in designing and implementing data solutions on the AWS cloud platform, such as AWS Redshift, AWS S3, and AWS RDS.