Big Data Architect - 10+ years

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

Job Title: DATA Architect 

Work Location : Tampa FL/ Irving, TX

Duration: Full time

Job Description:

Key Responsibilities

• Primary skill Database SQL Data Modeling skills
• Secondary skill Tableau
• Core Data Engineering
• Design build and maintain scalable data pipelines using PySpark Spark SQL and Python
• Work with largescale data platforms Hive Impala S3 HDFS
• Implement ETLELT workflows using tools such as Talend or Ab Initio
• Ensure data quality performance and reliability across pipelines
• Optimize data models for analytics and AI use cases
• Advanced Analytics ML AI Enablement
• Analyse large datasets to identify trends anomalies and behavioral patterns
• Apply machine learning and AI concepts supervised unsupervised learning to support predictive and exploratory analysis
• Perform feature engineering and data transformations to enable ML models
• Partner with analytics and data science teams to prepare validate and operationalize datasets for AIML workflows
• Support trend analysis segmentation clustering and forecasting use cases
• Interpret analytical results and translate them into business-friendly insights
• Data Analysis Insight Generation
• Conduct deep dive data analysis using SQL Python and Spark
• Create analytical datasets for dashboards reporting and advanced analytics
• Validate trends and findings with statistical reasoning and data profiling
• Collaborate closely with stakeholders to answer complex business questions using data 

Required Skills 

• Strong proficiency in Python PySpark and data ingestion tools must have
• Advanced SQL and RDBMS expertise
• Handson experience with Big Data technologies Spark Hive Impala HDFS S3 and data lake house architecture AWS Cloud Airflow Starburst Iceberg
• Strong experience in data analysis data exploration and trend identification
• Solid understanding of machine learning fundamentals like Regression classification clustering Feature engineering
• Mandatory Certificate Cloudera CCA Spark and Hadoop Developer CCA175 or Databricks Certified Associate Developer for Apache Spark

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 Canada 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.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, colour, 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.