OVERVIEW

We are seeking a highly skilled Senior Data Architect to join our dynamic team. In this role, you will be responsible for designing and implementing robust data architectures that support our business objectives. You will work closely with cross-functional teams to ensure the integrity, availability, and security of our data assets. The ideal candidate will have a strong background in both traditional and modern data management technologies, including experience with big data solutions.

QUALIFICATIONS

• Extensive experience with database design and management using Microsoft SQL Server, Oracle, and NoSQL databases.
• Proficiency in programming languages such as Java and Python for data manipulation and automation tasks.
• Strong understanding of Agile methodologies to facilitate project management within teams.
• Experience with Informatica for ETL processes is preferred.
• Knowledge of linked data concepts and their application in modern architectures.
• Familiarity with analytics tools to derive insights from large datasets.
• Ability to work effectively in a fast-paced environment while managing multiple priorities.
• Excellent problem-solving skills combined with a strong attention to detail. Join us as we leverage cutting-edge technology to drive business success through effective data management. Your expertise will play a crucial role in shaping our organization’s future.
  Job Type: Contract
  Pay: $80.00 - $85.00 per hour
  Expected hours: 40 per week
  Work Location: In perso

• Design and develop scalable data architectures that meet business needs and enhance data accessibility.
• Collaborate with stakeholders to understand data requirements and translate them into technical specifications.
• Lead the development of ETL processes to ensure efficient data integration from various sources.
• Implement and manage NoSQL databases, ensuring optimal performance and reliability.
• Utilize cloud platforms such as AWS and Azure for data storage, processing, and analytics.
• Develop data models that support analytical needs while ensuring compliance with best practices in database design.
• Oversee the implementation of big data technologies including Hadoop, Spark, and Azure Data Lake.
• Ensure the security and privacy of sensitive data through appropriate measures and compliance with regulations.
• Mentor junior team members in best practices for database management and analytics.