Sr Data Architect 18O25

We are seeking a highly skilled and experienced Sr Data Architect to join our dynamic technology team. The ideal candidate will have an in-depth understanding of data architecture principles and a proven track record in designing and optimizing complex data systems. This position plays a pivotal role in guiding our data strategy, ensuring that all our data systems are scalable, efficient, and secure. The Sr Data Architect will collaborate with various departments to understand their data needs and provide sustainable solutions that support decision-making and strategic initiatives. If you're ready to take on a challenging role that impacts the entire organization, we'd love to hear from you.

Responsibilities

• Lead the design, development, and deployment of data architecture strategies and frameworks.
• Collaborate with IT and business teams to understand data requirements and translate them into models.
• Ensure the effective integration of data systems with existing business technologies.
• Develop and enforce data management policies and procedures across the organization.
• Conduct regular assessments to ensure data architectures are optimized for performance and reliability.
• Provide technical leadership in data architecture planning and decision-making processes.
• Coordinate data governance strategies to ensure integrity and confidentiality of company data.
• Analyze complex datasets to identify trends and patterns that inform business strategies.
• Ensure that all data-related activities comply with relevant laws and industry regulations.
• Mentor junior data architects and database developers to foster their professional growth.
• Stay updated on the latest trends and technologies in data architecture and data management.
• Prepare and present reports on data architecture status and recommendations to senior management.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field required.
• A minimum of 8 years of experience in data architecture or related roles.
• Strong proficiency in data modeling, database design, and data warehousing techniques.
• Experience with big data technologies such as Hadoop, Spark, or equivalent.
• Exceptional problem-solving skills and attention to detail in data analysis processes.
• Excellent communication skills with the ability to convey complex technical concepts.
• Certification in data architecture or a related area is highly desirable.