Senior Data Architect

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 700 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 86,000+ talented and entrepreneurial professionals across more than 40 countries, LTIMindtree — a Larsen & Toubro Group company — solves the most complex business challenges and delivers transformation at scale. For more information, please visit

AWS Data Architect

Sr. Data Architect with many years of experience architecting and designing Business Intelligence solutions.

data warehousing, data pipelines, data architect/modelling

a Data Engineering Technical Team Lead, ETL architect/developer, Data

Architect, BI Lead Analyst, and Reporting Team Lead for companies in the manufacturing industry

in AI & BI data warehouse solutions

hands on architect / project lead. Recent experience is heavy into IoT and cloud architecture / migration and

AWS expert with, cloud-based ETL

Design and build scalable data pipelines using AWS services like AWS Glue, Amazon Redshift, and S3.

Develop efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes.

Create and manage applications, integrations and orchestrations using Python, PySpark, SQL, Databricks, Managed Airflow by AWS, AWS Kinesis, AWS IOT core and various AWS technologies.

Have strong application and data integration hands on experience with Qlik, Snowflake, PostgreSQL, MongoDB and application APIs

Quickly develop innovative Proof-of-Concept (POC) solutions and services to address emerging needs.

Automate repetitive tasks and build reusable frameworks to improve efficiency.

Collaborate with teams to design and develop data products that support marketing and other business functions.

Ensure data services are reliable, maintainable, and seamlessly integrated with existing systems

A bachelor’s degree in computer science/ engineering, or a related field

Hands-on experience with AWS services including S3, Lambda, API Gateway, and SQS.

Hands on with Python, PySpark, SQL, Databricks, Managed Airflow by AWS, AWS Kinesis, AWS IOT core and various AWS technologies.

Have strong application and data integration hands on experience with Qlik, Snowflake, PostgreSQL, MongoDB and application APIs

Hands on with DevOps automation tools like GitLab, Bitbucket, Jenkins, and Maven.

Strong skills in data engineering on AWS, with proficiency in Python.

Experience with batch job scheduling and managing data dependencies.

Knowledge of data processing tools like Spark, Hive, Kafka, and Airflow.

Experience with automated testing tools such as MUNIT and Selenium

Experience with AWS Big Data services like Amazon EMR and Kinesis.

Familiarity with data visualization tools such as Tableau or Power BI.

Knowledge of containerization technologies like Docker and Kubernetes

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

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

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.