Sr. Snowflake Cloud Data Architect

Sibitalent Corp - Pittsburgh, PA

Full-time - Senior

Pittsburgh, PA

About the position

The Sr. Snowflake Cloud Data Architect is responsible for developing and delivering long-term strategic goals for data architecture, ensuring that data management aligns with the company's strategic imperatives. This role involves collaboration with various stakeholders to create tactical solutions, govern metadata, and ensure data quality and compliance. The architect will also lead data management initiatives, coach staff, and document the data architecture to maintain an accurate view of the data landscape.

Responsibilities

• Develop and deliver long-term strategic goals for data architecture vision and standards with data users, department managers, business partners, and other key stakeholders.
• Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap.
• Collaborate with third parties and business subject matter experts to enable company strategic imperatives that require secure and accessible data cloud capabilities.
• Collaborate with IT Enterprise Architecture, Enterprise Platforms, Business Intelligence, Data Engineering, Data Quality, and Data Governance stakeholders.
• Develop processes for governing the identification, collection, and use of corporate metadata.
• Assure metadata accuracy and validity.
• Track data quality, completeness, redundancy, and improvement.
• Conduct cloud consumption cost forecasting, usage requirements, proof of concepts, proof of business value, feasibility studies, and other tasks.
• Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.
• Ensure that data strategies and architectures are in regulatory compliance.
• Act as a leader and advocate of data management, including coaching, training, and career development to staff.
• Develop and implement key components as needed to create testing criteria to guarantee data architecture's fidelity and performance.
• Document the data architecture and environment to maintain a current and accurate view of the larger data picture.
• Identify and develop opportunities for data reuse, migration, or retirement.

Requirements

• Bachelor's degree in computer science, information systems, computer engineering, or relevant discipline.
• Fifteen or more years of experience is required.
• Relevant professional certifications required.
• Advanced degrees in a related field preferred.