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Associate Principal - Data Engineering

LTIMindtree
Houston, TX Full Time
POSTED ON 5/21/2026
AVAILABLE BEFORE 6/20/2026
Role Description

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 86,000 talented and entrepreneurial professionals across more than 40 countries, LTIMindtree — a Larsen & Toubro Group company — solves the most complex business challenges and delivers transformation at scale. For more information, please visit

Job title: Azure ADF Lead

Location Houston,Texas Onsite

Job Summary

Seeking an Associate Principal with 11 to 15 years of experience in designing developing and managing scalable data integration solutions using Azure Data Factory ADF.

Job Description

Design develop and implement robust and scalable data pipelines and workflows using Azure Data Factory to support enterprisewide data integration needs Collaborate with data engineers architects and business stakeholders to gather and translate complex data requirements into efficient ADF solutions Develop and maintain ETLELT processes ensuring high data quality reliability and optimal performance Optimize ADF pipelines for performance scalability and cost efficiency Integrate Azure Data Factory with other Azure services such as Azure Data Lake Azure SQL Database and Azure Databricks to build comprehensive cloud data solutions Ensure compliance with data governance security policies and best practices for cloudbased data environments Document technical specifications design decisions and development processes related to data pipelines Stay current with the latest trends and best practices in Azure data services and cloud data engineering.

Roles and Responsibilities

Lead and manage Azure Data Factory environments including provisioning configuration monitoring and administration Design and implement highly available faulttolerant and resilient data integration solutions within the Microsoft Azure ecosystem Analyze and improve existing data workflows operational standards and automation opportunities Collaborate with crossfunctional teams to support cloud adoption and modernization of data applications Participate in Agile development processes and contribute to continuous integration and continuous deployment CICD pipelines for data integration solutions Develop infrastructure as code IaC using Azure native tools to automate deployment of data integration platforms Monitor pipeline performance and implement data protection best practices to prevent data loss Provide technical mentorship guidance and leadership to junior team members and peers Participate in oncall rotations to promptly address and resolve critical production issues,

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
  • Vacation Time, Sick Leave, Paid Holidays
  • Paid Paternity and Maternity Leave

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.

Skills

Mandatory Skills : Azure Data Factory

Other Details

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
  • Vacation Time, Sick Leave, Paid Holidays
  • 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.

Benefits

Compensation range: $ 100,000.00 to 135,000.00 per year

Salary : $100,000 - $135,000

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