Senior Data Architect

The Data Analyst/Data Architect will support the Reporting Architecture workstream, focusing on remediation planning, evidence quality assurance, and control & metric design. The role involves working with platform owners, analyzing current vs. target state, and ensuring robust governance for reporting architecture.

• Review and validate information gathered from platform owners regarding current and target state.
• Maintain and update progress tracking from current to target state.
• Remediation Planning & Execution
• Develop remediation plans for gaps identified during architecture assessment.
• Ensure timely execution and closure of remediation activities.
• Evidence Quality Assurance (QA)
• Validate evidence submitted for compliance and completeness.
• Implement QA processes to ensure accuracy and integrity of reporting architecture data.
• Control & Metric Design
• Design and implement controls to monitor reporting architecture compliance.
• Define and track key metrics to measure progress and effectiveness of remediation efforts.
• Stakeholder Collaboration
• Work closely with platform owners, architects, and governance teams.
• Facilitate workshops and questionnaires to capture current and target state requirements.

• Experience: 8–10 years in Data Analysis, Data Architecture, or Reporting Architecture roles.
• Technical
  
  Skills:
  
  
• Strong knowledge of data modeling, reporting frameworks, and architecture principles.
• Proficiency in SQL, data visualization tools (Power BI/Tableau), and metadata management.
• Governance & Compliance:
• Experience in designing controls and metrics for data governance.
• Familiarity with QA processes for evidence validation.
• Soft Skills:
• Excellent analytical, documentation, and stakeholder management skills.
• Certifications (Preferred): DAMA, CDMP, or equivalent in Data Management.
• Strong understanding of reporting architecture and remediation planning.
• Ability to design and implement effective controls and metrics.
• Detail-oriented with a focus on evidence validation and compliance.

• Mid-Senior level

• Full-time

• Engineering and Information Technology