Data Quality Automation Lead: Governance & Cloud

LTM; Charlotte (NC); On-site; USD 100,000 - 180,000; Full time

Benefits offered by this job

Comprehensive Medical Plan Covering 医疗

Short Term and Long-Term Disability

401(k) Plan with Company match

Life Insurance

Paid Paternity and Maternity Leave

Job summary

LTIMindtree in the United States (Charlotte) is seeking a data quality and governance specialist to design and implement an automated, future-state DQ framework across our data ecosystem. You will focus on automation of inventory management, rule monitoring, governance reporting, severity categorization, and risk prioritization to drive proactive quality controls.

Work within an agile team with stakeholders and technology partners to close data gaps, maintain metadata standards, and scale

Qualifications

• Implement and maintain data quality frameworks in large data warehouse environments.
• Design end-to-end governance with automated controls and real-time monitoring.
• Work within an agile team to remediate data quality gaps.
• Collaborate with technology partners and stakeholders to close data gaps.
• Develop metadata, data quality and data transformation processes.

Responsibilities

• Design futurestate automated DQ framework.
• Automate Inventory management, Rule monitoring, Governance reporting, Severity categorization, Risk prioritization.

Skills

Metadata management

Cloud concepts

Data Architecture

Cloud and data platforms

API integration

AIML-based monitoring

Governance

Data quality

Tools

Collibra

Starburst

Industrial AI - Machine Learning (ML)

Job description

LTIMindtree in the United States (Charlotte) is seeking a data quality and governance specialist to design and implement an automated, future-state DQ framework across our data ecosystem. You will focus on automation of inventory management, rule monitoring, governance reporting, severity categorization, and risk prioritization to drive proactive quality controls.

Work within an agile team with stakeholders and technology partners to close data gaps, maintain metadata standards, and scale