Data Architect: AI-Enablement & Scalable Data Pipelines
LTM
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Benefits offered by this job
Job summary
LTIMindtree in Tampa, FL is seeking a DATA Architect to design and govern scalable data platforms. You will lead data modeling, build data pipelines using PySpark, SQL, and modern lakehouse architectures, and collaborate with analytics teams to enable ML workflows.
The role emphasizes hands-on engineering, data quality, and performance across large datasets; on-site in Tampa with competitive benefits.
Qualifications
- Strong proficiency in Python, PySpark, and data ingestion tools.
- Advanced SQL and RDBMS expertise.
- Hands-on with Big Data tech: Spark, Hive, Impala, HDFS, S3, Airflow, Iceberg, Starburst.
- Knowledge of ML concepts and Data Lakehouse architectures.
Responsibilities
- Design, build, and maintain scalable data pipelines using PySpark, Spark SQL, and Python.
- Work with large-scale data platforms (Hive, Impala, S3, HDFS).
- Implement ETL/ELT workflows with Talend, Ab Initio, or similar tools.
- Ensure data quality, reliability, and performance across pipelines.
- Collaborate with analytics and data science teams to operationalize datasets for AIML workflows.
Skills
Education
Tools
Job description
LTIMindtree in Tampa, FL is seeking a DATA Architect to design and govern scalable data platforms. You will lead data modeling, build data pipelines using PySpark, SQL, and modern lakehouse architectures, and collaborate with analytics teams to enable ML workflows.
The role emphasizes hands-on engineering, data quality, and performance across large datasets; on-site in Tampa with competitive benefits.
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