Snowflake Data Architect with Utility domain exp. :: (15+)

1 Point System - Pittsburgh, PA

Full-time - Senior

Remote - Pittsburgh, PA

Administrative and Support Services

About the position

The Sr. Snowflake Cloud Data Architect will serve as a technical leader within the organization, focusing on data architecture and engineering best practices specifically within the utilities domain. This role involves strategic planning, collaboration with various stakeholders, and ensuring compliance with data governance and security standards. The position requires a strong background in data management and architecture, with a focus on developing long-term strategies and tactical solutions to enhance data capabilities.

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 to develop processes for governing the identification, collection, and use of corporate metadata.
• Ensure 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.
• 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 (15) or more years of experience in data architecture and engineering.
• Relevant professional certifications required.

Nice-to-haves

• Advanced degrees in a related field preferred.