Description

You will design scalable data architectures, models, and integration processes to solve complex business problems.

Responsibilities

• Design scalable data models, storage solutions, and integration processes.
• Develop data management frameworks to ensure integrity, quality, and security.
• Collaborate with data engineers, scientists, and software developers to implement solutions.
• Optimize data pipelines and storage to support ML/AI model training and deployment.
• Implement data security measures and enforce governance policies to ensure regulatory compliance.

Required Skills

• 10+ years of experience in data architecture, data management, or data analysis.
• Proficiency in SQL and Python.
• Experience with NoSQL and relational databases including MongoDB, MySQL, and PostgreSQL.
• Hands-on experience with Cloud platforms such as AWS or Azure.
• Expertise in designing modern data lake architectures.
• Experience with data warehousing solutions like Redshift or Google BigQuery.
• Proficiency with ETL tools such as Talend or Informatica.
• Experience with big data technologies including Hadoop and Kafka.
• Ability to use data visualization tools like Tableau or Power BI.
• Strong understanding of data governance and privacy laws including GDPR and CCPA.

Preferred Skills

• Professional certifications in data architecture.
• Experience with machine learning and advanced analytics.

Key Skills

Education

Any Graduate