Data Architect

Data Architect – Data Engineering & AI
Experience: 10–15 Years
Location: Remote
Employment Type: Contract
Role Summary
We are looking for an experienced Data Architect with 10–15 years of experience and a strong background in Data Engineering and Data Science, combined with practical exposure to AI/LLM technologies.
The ideal candidate should have experience in data modeling, LLM/model training, data platforms, AWS data services, SQL/PLSQL, PostgreSQL, and Python scripting. This is a hybrid Data + AI role rather than a pure AI/ML position.
Key Responsibilities
Design and develop scalable enterprise data architectures and data models.
Work across Data Engineering and Data Science initiatives with AI/LLM components.
Design, train, evaluate, and optimize machine learning models and LLMs.
Support LLM training workflows, data preparation, model training, evaluation, and deployment.
Build and optimize data pipelines and data platforms using AWS.
Work extensively with AWS Glue, Amazon Redshift, and Amazon S3.
Develop complex SQL and PL/SQL, including stored procedures and database logic.
Design and optimize PostgreSQL databases and data solutions.
Develop automation and data-processing scripts using Python.
Define data models, schemas, integration patterns, and data processing frameworks.
Collaborate with Data Scientists, Data Engineers, and business/technical stakeholders.
Ensure data platforms are scalable, reliable, secure, and optimized for performance.
Mandatory Skills
10–15 years of experience in Data Architecture / Data Engineering / Data Science.
Master's or PhD in Data Science or a related technical field.
Strong experience in Data Modeling and Data Architecture.
Strong Data Engineering/Data Science background with practical AI/LLM exposure.
Experience with LLM/model training and evaluation.
Strong hands-on experience with:
AWS Glue
Amazon Redshift
Amazon S3
Strong SQL and PL/SQL experience, including Stored Procedures.
Strong experience with PostgreSQL.
Strong Python scripting/programming skills.
Core Skills
Data Architecture | Data Modeling | Data Engineering | Data Science | LLMs | Model Training | AWS Glue | Redshift | S3 | SQL | PL/SQL | Stored Procedures | PostgreSQL | Python | AI/ML
Skills: data science,aws,amazon,python,postgresql,sql,data,data engineering

Work arrangement
No