Databricks & AWS Lakehouse Architect

LTM; Irving (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Comprehensive Medical Plan

Disability Coverage

401(k) Plan with Company match

Life Insurance

Paid Vacation and Holidays

Paid Paternity and Maternity Leave

Job summary

LTIMindtree is seeking a highly skilled DATABRICKS Architect with AWS expertise to design, build, and optimize enterprise-scale data platforms and analytics solutions. You will collaborate with data architects, application teams, and platform engineers to deliver scalable, secure data lakehouse solutions on AWS.

The role focuses on Databricks, Delta Lake, and Spark-based processing, leveraging modern data engineering practices and CI/CD pipelines.

Qualifications

• Holds a Bachelor's or Master's in CS/Eng/IS or related field and preferred Databricks Data Engineer certification.
• Demonstrated experience with Databricks, Delta Lake, AWS services and PySpark/Spark SQL.
• Strong data modeling, ETL/ELT design, and data warehouse concepts required.

Responsibilities

• Design and maintain scalable data pipelines with Databricks, PySpark, and Delta Lake.
• Build and support enterprise data lake/lakehouse solutions on AWS.
• Collaborate with data architects and stakeholders to deliver secure, high-performance data platforms.
• Implement CICD and IaC pipelines using Terraform and Git-based repos.
• Optimize Spark workloads for cost, performance, and scalability.

Skills

Databricks

Delta Lake

AWS

PySpark

Spark SQL

ETL/ELT

Data Modeling

Batch RealTime Processing

Data Warehousing

Data Pipelines

Education

Bachelor's or Master's in CS/Engineering/IS

Databricks Certified Data Engineer

AWS Certified Data Analytics or Solutions Architect

Tools

Terraform

Docker

Kubernetes

OpenShift

Informatica

Collibra

Job description

LTIMindtree is seeking a highly skilled DATABRICKS Architect with AWS expertise to design, build, and optimize enterprise-scale data platforms and analytics solutions. You will collaborate with data architects, application teams, and platform engineers to deliver scalable, secure data lakehouse solutions on AWS.

The role focuses on Databricks, Delta Lake, and Spark-based processing, leveraging modern data engineering practices and CI/CD pipelines.