Senior Data Quality & Observability Architect

McKesson; Irving (TX); On-site; USD 105,000 - 174,000; Full time

Job summary

McKesson seeks a Senior Data Quality Analyst to design and mature a comprehensive data quality capability from the ground up. You will work with Data Domain Officers, business stakeholders, data teams, and contractors to translate expectations into standards, rules, dashboards, and scalable services across data platforms.

The role emphasizes building observability, defining SLAs/SLOs, and coordinating with legal and privacy teams to meet HIPAA/GDPR/CCPA requirements.

Qualifications

• Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field (Master's degree preferred) or related experience
• Typically requires 7+ years of experience in data quality, data observability, data engineering, or data governance, including direct experience building a data quality capability within a large, complex organization
• Proven experience designing data quality frameworks and implementing data observability tooling and practices
• Strong understanding of data pipelines, data architecture, and how quality and observability checks integrate into ETL/ELT and streaming workflows
• Hands-on experience with data quality/observability platforms (Collibra, Informatica, Monte Carlo, Great Expectations, Soda) and catalog/lineage tools (Alation, Informatica Axon)
• Proficiency with SQL and at least one scripting language (Python preferred) for building and automating quality checks

Responsibilities

• Design and build the enterprise data quality framework — dimensions, scoring methodology, thresholds, and escalation paths
• Stand up data observability capability across priority pipelines and datasets to surface quality issues early
• Define and operationalize data quality rules and checks with data owners and stewards
• Build the data quality service layer: reusable rule libraries, monitoring dashboards, and alerting
• Conduct data quality assessments, triage root causes, and drive remediation plans
• Evaluate, implement, and administer data quality and observability tooling as part of the data catalog and lineage stack
• Establish data quality SLAs/SLOs and report KPIs to track health over time
• Collaborate with legal, compliance, and privacy teams to ensure quality controls meet regulations (HIPAA, GDPR, CCPA)
• Train data stewards and users on the data quality framework and observability signals
• Advise stakeholders on building quality into new systems and pipelines
• Identify systemic data quality risks and elevate capability gaps to leadership

Skills

SQL

Python

Data quality

Observability

Data governance

Stakeholder communication

Education

Bachelor's degree in IT/CS/Business

Master's degree preferred

Tools

Collibra

Informatica

Monte Carlo

Great Expectations

Soda

Alation

Informatica Axon

Job description

McKesson seeks a Senior Data Quality Analyst to design and mature a comprehensive data quality capability from the ground up. You will work with Data Domain Officers, business stakeholders, data teams, and contractors to translate expectations into standards, rules, dashboards, and scalable services across data platforms.

The role emphasizes building observability, defining SLAs/SLOs, and coordinating with legal and privacy teams to meet HIPAA/GDPR/CCPA requirements.