Senior Data Quality & Observability Lead

McKesson Corporation; Irving (TX); In loco; USD 105.000 - 174.000; Tempo pieno

Descrizione del lavoro

CoverMyMeds in Irving, TX is seeking a Senior Data Quality Analyst to build a scalable data quality capability across data platforms and business lines. You will translate business expectations into practical standards, rules, and observability that drive trusted data usage.

You will collaborate with data stewards, engineers, and domain owners to implement quality checks, data catalog integrations, and KPI reporting while navigating ambiguity to deliver measurable improvements in data

Competenze

• Bachelor's degree or related field; Master’s preferred.
• 7+ years in data quality, observability, data engineering, or governance.
• Experience building a data quality capability at scale.
• Experience with data quality frameworks and observability tooling.
• Proficiency in SQL and at least one scripting language (Python preferred).

Mansioni

• Design and build enterprise data quality framework with measurable standards.
• Stand up data observability across priority pipelines and datasets.
• Define and operationalize data quality rules with data owners/stewards.
• Build reusable rule libraries, monitoring dashboards, and alerts.
• Conduct quality assessments and drive remediation with teams.
• Evaluate and administer data quality tooling and catalog/lineage stack.
• Establish SLAs/SLOs and report KPIs to leadership.
• Collaborate with legal/compliance/privacy to align controls.
• Train data stewards and users on framework and observability.
• Advise on designing systems with built-in quality.

Conoscenze

SQL

Python

Data quality

Data governance

ETL/ELT

Formazione

Bachelor's degree or related field

Master's degree preferred

Strumenti

Collibra

Informatica

Monte Carlo

Great Expectations

Soda

Alation

Informatica Axon

Descrizione del lavoro

CoverMyMeds in Irving, TX is seeking a Senior Data Quality Analyst to build a scalable data quality capability across data platforms and business lines. You will translate business expectations into practical standards, rules, and observability that drive trusted data usage.

You will collaborate with data stewards, engineers, and domain owners to implement quality checks, data catalog integrations, and KPI reporting while navigating ambiguity to deliver measurable improvements in data