Sr. Snowflake Cloud Data Architect

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
50% Travel

Skills

DATA ARCHITECT
SNOWFLAKE

Job Details

Title: Sr. Snowflake Cloud Data Architect

Location: Pittsburgh, PA (Hybrid)

Duration: 12 month (Only W2 or Self Corp)

Job Description:

Responsibilities

  • Strategy & Planning
  • 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 or assist in curating data required to enrich models.
  • Collaborate with IT Enterprise Architecture, Enterprise Platforms , Business Intelligence, Data Engineering, Data Quality and Data Governance stakeholders to:
  • D evelop processes for governing the identification, collection, and use of corporate metadata;
  • Take steps to 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.
  • Ops l Management
  • 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.

Education/Experience

  • Bachelor s degree in computer science, information systems, computer engineering , or relevant discipline
  • Twelve (15) or more years of experience is required .
  • Advanced degrees in a related field preferred.
  • Relevant professional certifications required
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.