Data Quality Specialist Lead Engineer

Scottsdale, AZ - USA

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Data Quality Specialist Lead Engineer
Location: Scottsdale Arizona
Experience: 12 Years
Employment Type: Contract
Interview Type: In-Person or Webcam

Job Description

The Data Quality Specialist Lead Engineer will be responsible for developing and implementing data quality frameworks governance standards and validation processes across enterprise systems. This role requires strong expertise in data quality strategy data profiling data cleansing metadata management and master data management practices. The ideal candidate will work closely with cross-functional business analytics and engineering teams to improve data integrity consistency and reliability across the organization.

Key Responsibilities

Lead the design and implementation of enterprise data quality frameworks controls and governance processes.
Develop data quality metrics rules workflows dashboards and scorecards to monitor and improve data health.
Perform data profiling data validation cleansing and issue remediation across multiple data sources and platforms.
Partner with business and technical stakeholders to define data quality requirements standards and SLAs.
Manage and resolve data quality issues root-cause analysis and continuous improvement initiatives.
Lead large-scale data quality initiatives and ensure alignment with business objectives and compliance standards.
Implement data validation solutions using industry tools and cloud platforms.
Document data quality rules data dictionaries metadata and data processes.
Collaborate with Data Governance Data Engineering ETL BI and MDM teams to maintain data accuracy and reliability.
Support data migration integration projects and data quality automation across enterprise systems.

Required Qualifications

Minimum 12 years of experience in data quality data engineering or enterprise information management roles.
Strong experience with data quality tools such as Informatica IDQ Collibra Talend Ataccama SAP Data Services or similar.
Deep knowledge of data profiling data cleansing ETL processes and metadata management practices.
Hands-on experience with SQL database concepts complex queries stored procedures and performance troubleshooting.
Expertise working with data warehouses BI reporting platforms and cloud technologies (AWS Azure or GCP).
Experience with MDM frameworks and enterprise-wide data governance.
Strong analytical communication and stakeholder management skills.
Background in leading data quality strategy and driving enterprise-level initiatives.

Preferred Skills

Experience in Agile project methodologies and using tools such as Jira or Azure DevOps.
Familiarity with Python or scripting languages for data automation.
Knowledge of Big Data platforms (Hadoop Spark Databricks or Snowflake).
Experience in regulatory compliance and industry standards such as GDPR HIPAA or financial data policies.
Prior consulting experience or working in large-scale enterprise environments.

Job Title: Data Quality Specialist Lead Engineer Location: Scottsdale Arizona Experience: 12 Years Employment Type: Contract Interview Type: In-Person or Webcam Job Description The Data Quality Specialist Lead Engineer will be responsible for developing and implementing data quality frameworks gover...

Job Title: Data Quality Specialist Lead Engineer
Location: Scottsdale Arizona
Experience: 12 Years
Employment Type: Contract
Interview Type: In-Person or Webcam

Job Description

Key Responsibilities

Lead the design and implementation of enterprise data quality frameworks controls and governance processes.
Develop data quality metrics rules workflows dashboards and scorecards to monitor and improve data health.
Perform data profiling data validation cleansing and issue remediation across multiple data sources and platforms.
Partner with business and technical stakeholders to define data quality requirements standards and SLAs.
Manage and resolve data quality issues root-cause analysis and continuous improvement initiatives.
Lead large-scale data quality initiatives and ensure alignment with business objectives and compliance standards.
Implement data validation solutions using industry tools and cloud platforms.
Document data quality rules data dictionaries metadata and data processes.
Collaborate with Data Governance Data Engineering ETL BI and MDM teams to maintain data accuracy and reliability.
Support data migration integration projects and data quality automation across enterprise systems.

Required Qualifications

Minimum 12 years of experience in data quality data engineering or enterprise information management roles.
Strong experience with data quality tools such as Informatica IDQ Collibra Talend Ataccama SAP Data Services or similar.
Deep knowledge of data profiling data cleansing ETL processes and metadata management practices.
Hands-on experience with SQL database concepts complex queries stored procedures and performance troubleshooting.
Expertise working with data warehouses BI reporting platforms and cloud technologies (AWS Azure or GCP).
Experience with MDM frameworks and enterprise-wide data governance.
Strong analytical communication and stakeholder management skills.
Background in leading data quality strategy and driving enterprise-level initiatives.

Preferred Skills

Experience in Agile project methodologies and using tools such as Jira or Azure DevOps.
Familiarity with Python or scripting languages for data automation.
Knowledge of Big Data platforms (Hadoop Spark Databricks or Snowflake).
Experience in regulatory compliance and industry standards such as GDPR HIPAA or financial data policies.
Prior consulting experience or working in large-scale enterprise environments.