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Data Architect

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Date: Nov 10, 2022

Location: New York, NY, US

Company: LTIMindtree

About LTIMindtree

 

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 Description

  • The data architect's role is to serve as a subject matter expert and perform tasks that contribute to the organization's mission and vision.
  • Daily activities include assisting the team in revising enterprise conceptual, logical, and physical data model.
  • Creating data models that conform to existing standards and conventions
  • Providing leadership and guidance with enterprise data strategies
  • Revising data dictionary definitions, governance practices, and standards; and partnering with security architects to ensure compliance with data security and privacy mandates.
  • Additional responsibilities include end-to end data lifecycle management activities, evaluating and recommending new and emerging data management and storage technologies and standards, and ensuring consistency between data management, enterprise storage and all other technical system components.
  • This role encompasses all aspects of data management, conceptual, logical, and physical. The role is not tightly focused on the physical implementation.

 

Minimum Qualifications:

  • 7-12 years of experience with information technology programs and services, with demonstrated expertise in enterprise data management and related technologies.
  • 5-7 years of data architect experience
  • Experience with ERwin Data Modeler or a comparable data modeling tool
  • Experience working as a member of distributed data architecture teams.
  • Understanding of information systems and data life-cycle management best practices and methodologies, formal systems engineering life cycle (SELC), and systems development life cycle (SDLC).
  • Experience with Service Oriented Architecture (SOA), web services, enterprise data management, information security, applications development, and cloud-based architectures with federal clients.
  • Experience with enterprise data management technologies, including database platforms, ETL tools, and SQL.
  • Develop aggregate views/cubes for reporting purposes
  • Desired Skills:
  • Experience with two or more of the following: Snowflake, Oracle, Microsoft SQL Server and Cognos
  • Thorough knowledge of Microsoft Office Suite products, including Visio and Project
  • Good communication skills and customer relationship skills
  • Knowledge of configuration management and version control processes


How will you grow?

  • Role-based Training programs
  • Continuing Education Programs (CEP) to enhance your knowledge, skills, and attitude as a professional.
  • We encourage you to acquire various beneficial international certifications, with costs s reimbursed.
  • Our role-based workshop helps us groom future leaders for LTI.


What's in it for you?

  • Excellent benefits plan: medical, dental, vision, life, FSA, PTO & 401(k)
  • Roll over vacation days
  • Commuter benefits
  • Excellent growth and advancement opportunities
  • Certification reimbursement
  • Rewards and recognition programs
  • Innovative and collaborative company culture

 

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.


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Nearest Secondary Market: New York City

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