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Data Architect

LTMIrving, TX🇺🇸United StatesPosted 17 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

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 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: DATABRICKS Architect

Work Location :Irving TX

We are seeking a highly skilled Databricks Engineer with AWS expertise to support Data Services portfoli.

The role will be responsible for designing developing optimizing and supporting enterprise scale data platforms data pipelines and analytics solutions leveraging Databricks Lakehouse AWS Cloud and modern data engineering practices

The candidate will work closely with data architects application teams business stakeholders and platform engineering teams to deliver scalable secure and high-performance data solutions

Key Responsibilities

Design develop and maintain scalable data pipelines using Databricks PySpark Spark SQL and Delta Lake

Build and support enterprise data lake and Lakehouse solutions on AWS

Develop batch and Realtime ingestion frameworks from multiple source systems

Implement data transformation enrichment cleansing and validation processes

Optimize Spark workloads for performance scalability and cost efficiency

Design and implement data models supporting reporting analytics and downstream applications

Integrate Databricks with AWS services including S3 Glue Lambda Redshift EventBridge and IAM

Support data migration and modernization initiatives from traditional data warehouses to Databricks Lakehouse

Implement CICD pipelines and Infrastructure as Code IaC using Terraform and Gitbased repositories

Collaborate with security teams to ensure compliance with client governance risk and data security standards

Troubleshoot production incidents and provide L3 operational support

Participate in architecture reviews code reviews and technical governance activities

Mandatory Technical Skills

Databricks, Databricks Lakehouse Architecture ,Databricks Workflows

Delta Lake ,Unity Catalo ,Databricks SQL ,Auto Loader ,Structured Streaming ,Databricks Performance Tuning

Medallion Architecture ,AWS ,Amazon S3 ,AWS Glue ,AWS Lambda ,AWS IAM

Amazon Redshift ,AWS CloudWatch .SNS SQS ,EventBridge ,KMS ,Secrets Manager

Data Engineering ,PySpark ,Apache Spark

Python ,SQL ,Data Warehousing Concepts ,ETLELT Design

Data Modeling ,Data Quality Frameworks ,Batch RealTime Processing

Preferred Skills

Snowflake , Microsoft Fabric , Google Cloud Platform BigQuery ,Kafka ,Airflow

dbt ,Terraform ,Docker ,Kubernetes OpenShift ,Informatica ,Collibra

Data Vault Modeling ,Dimensional Data Modeling ,Banking Domain Experience

Strong experience within Banking and Financial Services

Understanding of enterprise data governance regulatory reporting risk compliance and audit requirements

Experience working in large global organizations with stringent security and operational standards

Qualifications

Bachelors or Masters degree in Computer Science Engineering Information Systems or related discipline

Databricks Certified Data Engineer Preferred

AWS Certified Data Analytics or AWS Solution Architect Preferred

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 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.

Skills

Docker
SQL
AWS
Snowflake
Airflow
Apache
Apache Spark
BigQuery
Databricks
Google Cloud
Kafka
Kubernetes
Python
Redshift
Terraform
Unity
Vault
dbt

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