Data Architect

We are looking for an experienced Data Architect to join our team. The ideal candidate will have a deep understanding of data management technologies and methodologies and will be responsible for designing, implementing, and maintaining our data architecture to ensure it aligns with the overall business strategy. You will work closely with data engineers, analysts, and other stakeholders to create scalable, efficient, and secure data systems.

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. A master’s degree or relevant certifications
• Experience: Minimum of 5 years of experience in data architecture, data engineering, or a related role.
• Proficiency in data modeling tools (e.g., ER/Studio, Lucidchart).
• Expertise in database management systems (e.g., SQL Server, Oracle, MySQL, PostgreSQL).
• Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud).
• Familiarity with ETL tools (e.g., Airflow, Informatica, Talend, Apache Nifi).

• Opportunities for professional growth and development.
• Competitive salary and bonuses.
• Comprehensive insurance coverage.
• Supportive work environment.
• Visa Premium salary card.
• Corporate discounts and events.
• Additional vacation days.
• Discounted education and employee loans.

• Data Architecture Design: Design and develop robust, scalable, and secure data architectures that meet the company's needs. \
• Data Modeling: Create and maintain data models that support business processes and analytics. Ensure models are well-documented and align with best practices.
• Database Management: Oversee the design and maintenance of databases and data warehouses. Ensure efficient storage, retrieval, and processing of data.
• Data Integration: Design and implement data integration processes to ensure seamless data flow across systems and applications. Manage ETL (Extract, Transform, Load) processes.
• Governance & Security: Develop and enforce data governance policies and procedures. Ensure data security and compliance with relevant regulations (e.g., GDPR, HIPAA).
• Collaboration: Work closely with data engineers, data scientists, and business analysts to understand data needs and translate them into architectural solutions.
• Technology Evaluation: Evaluate and recommend new data management technologies and tools. Stay up-to-date with industry trends and best practices.
• Documentation: Create and maintain comprehensive documentation of data architecture, models, and processes.
• Troubleshooting: Address and resolve data-related issues. Optimize and tune databases and data systems for performance.

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