Data Architect

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Requirements:

• Extensive experience with various data technologies, including Apache Kafka, Databricks, MongoDB, and Snowflake.
• Strong understanding of data architecture, infrastructure design, and best practices.
• Proficiency in designing and implementing scalable, secure data solutions.
• Experience with data mesh architectures and data catalog tools like Alation or Informatica.
• Knowledge of big data technologies such as Hadoop, Spark, and Flink.
• Proficiency with relational and graph databases.
• Knowledge of data security best practices and compliance requirements.
• Strong problem-solving and communication skills.
• Ability to work collaboratively in a team.
• Bachelor's or Master's degree in a related field.

Responsibilities:

• Design and implement scalable data architectures using various data technologies.
• Develop and implement data mesh architectures for decentralizing data ownership.
• Design and manage data catalogs to improve data discovery and governance.
• Create integration strategies for various data sources.
• Design and implement data warehousing solutions.
• Develop ETL processes using tools like Apache NiFi, Talend, or Informatica.
• Implement big data technologies to handle large-scale data processing.
• Ensure compliance with industry standards and regulations.
• Monitor and optimize system performance.
• Collaborate with stakeholders to gather requirements.