Data Architect

About US:

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 750 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 nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com.

Job Title: Data Architecture

Work Location: Tampa, Florida

Job Summary

• Seeking an experienced Associate Principal specializing in Data Architecture to lead and design scalable data solutions

Job Description

• Lead the design and development of enterprise data architecture frameworks and solutions Collaborate with business and technical teams to define data strategy and governance Develop scalable data models data flow diagrams and metadata management processes Ensure alignment of data architecture with organizational goals and technology standards Evaluate and recommend new data technologies and tools to improve data management efficiency Drive best practices in data integration data quality and data security Mentor and guide technical teams on data architecture principles and implementation Participate in architectural reviews and contribute to the continuous improvement of data platforms

Roles and Responsibilities

• Lead end-to-end data architecture design and implementation for complex projects Develop and enforce data architecture standards policies and procedures Collaborate with stakeholders to gather requirements and translate them into technical solutions Oversee data modeling database design and metadata management activities Ensure data solutions are scalable reliable and secure Provide technical leadership and mentorship to data architects and engineers Coordinate with cross functional teams to integrate data across multiple systems Monitor emerging data architecture trends and incorporate relevant innovations Support data governance initiatives and compliance requirements Drive continuous improvement in data architecture practices and documentation

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.