Senior Data Architect

Key Responsibilities:

• Design and implement effective data architecture strategies and data models.
• Develop and maintain data warehouses, data lakes, and real-time data streaming solutions.
• Ensure data integrity, security, and governance across all enterprise systems.
• Collaborate with data engineers, analysts, and business stakeholders to understand data needs.
• Define standards for data architecture, data modeling, and metadata management.
• Optimize database performance and support ETL/ELT development.
• Evaluate and recommend new data technologies and tools.
• Maintain documentation for architecture, processes, and data flows.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• Proven experience as a Data Architect, Database Developer, or similar role.
• Expertise in data modeling, relational and NoSQL databases (e.g., SQL Server, Oracle, MongoDB).
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Proficiency with data integration tools (e.g., Talend, Informatica, Apache NiFi).
• Strong understanding of data governance, data quality, and master data management.
• Solid knowledge of big data technologies (e.g., Hadoop, Spark, Kafka) is a plus.
• Excellent problem-solving and communication skills.

Preferred Qualifications:

• Certification in cloud data architecture (e.g., AWS Certified Data Analytics, Google Professional Data Engineer).
• Experience in building data solutions for BI and machine learning projects.
• Familiarity with data visualization tools (e.g., Power BI, Tableau).