DQ Architecture Automation Lead

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

Purpose Design the futurestate automated DQ framework

Your recent discussion highlighted the need for automation of Inventory management, Rule monitoring, Governance reporting, Severity categorization, Risk prioritization.

Required Skills

Metadata management

Cloud and data platforms

API integration

Desired Skills

Collibra

Starburst

Data observability platforms

AIMLbased monitoring

Work within an agile team to remediate Data Quality gaps while designing to deliver a proactive governed endto end

ADS data ecosystem with automated controls clear ownership realtime monitoring and scalable governance

Works with technology partners and a diverse set of stakeholders to identify and close gaps in data

management standards adherence negotiates paths forward and helps identify and communicate solutions to complex data problems leveraging knowledge of information systems techniques and processes Implement and maintain data quality frameworks and

techniques in large data warehouse environments to ensure data integrity Codes complex solutions to integrate clean transform and control data builds processes supporting data transformation data structures metadata data quality controls dependency and workload management assembles complex data sets and communicates required information for deployment

Mandatory Skills : Cloud concepts, Data Architecture

Good to Have Skills : Collibra, Industrial AI - Machine Learning (ML), Starburst

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.