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 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 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
Job Title: Data Architect
Work Location
Dallas, Texas
Job Description:
The ideal candidate will have a good understanding of big data technologies data engineering and cloud computing DWH Projects with a focus on Azure Databricks
Work closely with business stakeholders and other IT teams to understand requirements and define the scope for engagement with reasonable timeline
Ensure proper documentation of architecture processes while ensuring compliance with security and governance standards
Ensure best practices are followed by team in terms of code quality data security and scalability
Stay updated with the latest developments in Databricks and associated technologies to drive innovation
12 years of experience along with 5 years of data Analytics project experience
Experience with Azure Databricks notebook development and Delta Lake
Good understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory Fabric
Experience with ETLELT processes data warehousing and building data lakes
SQL skills and familiarity with NoSQL databases
Experience with CICD pipelines and version control systems like Git
Soft Skills
Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders
Strong problem-solving skills and a proactive approach to identifying and resolving issues
Leadership skills with the ability to manage and mentor a team of data engineers
Power BI for dashboarding and reporting
Microsoft Fabric for analytics and integration tasks
Spark Streaming for processing real time data streams
Over 12 years of IT experience including 4 years specializing in developing data ingestion and transformation pipelines using Databricks Synapse notebooks and Azure Data Factory
Good understanding on different domain industries with respect to data Analytics project DWH projects
Should be good in Excel and Power Point
Good understanding and experience with Delta tables Delta Lake and Azure Data Lake Storage Gen2
Experience in building and optimizing query layers using Databricks SQL
Familiarity with modern CICD practices especially in the context of Databricks and cloud native solutions
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):
Benefits and Perks:
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.
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