AI-Driven Data Architect | Spark, Lakehouse & ML

LTM; Tampa (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Comprehensive Medical Plan

Disability Coverage

401(k) Plan with Company match

Life Insurance

Paid Paternity and Maternity Leave

Job summary

LTIMindtree is seeking a Data Architect to design and maintain scalable data pipelines using PySpark, Spark SQL, and Python. You will work with Hive, Impala, and S3, implementing ETL/ELT workflows and ensuring data quality across analytics-enabled pipelines.

The role requires strong Python, SQL, and Big Data experience and close collaboration with data science teams. Responsibilities include optimizing data models for analytics, enabling ML/AI workflows, and translating insights into

Qualifications

• Strong proficiency in Python, PySpark, and data ingestion tools.
• Advanced SQL and RDBMS expertise.
• Hands-on experience with Big Data tech: Spark, Hive, Impala, HDFS, S3; data lakehouse architecture.
• Experience in data analysis, exploration, and trend identification.
• Solid understanding of ML fundamentals: regression, classification, clustering, feature engineering.
• Certifications: Cloudera CCA Spark/Hadoop, Databricks Spark certification.

Responsibilities

• Design, build and maintain scalable data pipelines using PySpark, Spark SQL and Python.
• Work with large-scale data platforms such as Hive, Impala, S3, HDFS.
• Implement ETL/ELT workflows using Talend or Ab Initio.
• Ensure data quality, performance and reliability across pipelines.
• Optimize data models for analytics and AI use cases.
• Collaborate with analytics and data science teams to operationalize datasets.

Skills

Python

PySpark

SQL

Tableau

Data modeling

Hive

S3

ETL/ELT

Spark

Airflow

ML/AI concepts

Education

Bachelor's degree in CS/Engineering

Cloudera CCA Spark & Hadoop Developer

Databricks Certified Associate Developer for Apache Spark

Tools

Talend

Ab Initio

Airflow

Hive

Spark

Job description

LTIMindtree is seeking a Data Architect to design and maintain scalable data pipelines using PySpark, Spark SQL, and Python. You will work with Hive, Impala, and S3, implementing ETL/ELT workflows and ensuring data quality across analytics-enabled pipelines.

The role requires strong Python, SQL, and Big Data experience and close collaboration with data science teams. Responsibilities include optimizing data models for analytics, enabling ML/AI workflows, and translating insights into