Digital Solutions Consultant II

Description

• Manage and utilize technical metadata and lineage to ensure data traceability from source to consumption.
• Define, develop, and operationalize data quality rules, dimensions, and metrics in collaboration with business data owners and stewards.
• Design, implement, and maintain a Data Quality Framework aligned with enterprise governance and compliance standards.
• Conduct data profiling, anomaly detection, and root cause analysis to identify and resolve data quality issues.
• Leverage data governance and cataloging tools such as Collibra (or similar platforms) to manage rules, workflows, and issue tracking.
• Develop and implement data pipelines for ingesting and collecting data from various sources into a centralized data platform.
• Implement automated monitoring, validation, and alerting within data pipelines and reporting environments.
• Partner with data engineering teams to embed DQ controls and validation logic within AWS data workflows (e.g., S3, Glue, Redshift, Lambda).
• Engage with stakeholders across the business to promote data ownership and accountability.
• Develop data quality dashboards and scorecards to measure KPIs and communicate progress.

Requirements

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance