Technical Architect-AWS Architect

Indore, Madhya Pradesh, India;Bangalore, Karnataka, India;Pune, Maharashtra, India;Hyderabad, Telangana, India

Qualification

:

Indore / Bangalore / Pune / Hyderabad

Top of Form

Job Description

Key Responsibilities

• Design and develop scalable data engineering solutions using Python, Spark, and SQL to support high‑volume data processing needs.
• Architect and optimize end‑to‑end data pipelines on AWS, ensuring reliability, performance, and cost efficiency.
• Collaborate with stakeholders to translate BFSI domain requirements into technical architectures and data models.
• Lead the development of frameworks/project, ensuring strong governance and best practices.
• Conduct code reviews, performance tuning, and solution validation for data engineering components.
• Provide architectural guidance and support for Databricks‑based processing (good to have).
• Exp of AI/ML components, including feature engineering and model deployment support.
• Ensure solutions align with security, compliance, and data quality standards—critical for BFSI environments.
• Mentor junior engineers and contribute to technical roadmaps, documentation, and design reviews.
• Troubleshoot complex issues across data pipelines, AWS services, and distributed systems.

Required Skills & Experience

• 12-15 years of strong experience as a Data Engineer or in a similar technical role with exposure to solution design/architecture.
• Hands‑on expertise in Python for building robust data pipelines and reusable engineering components.
• Advanced experience with Apache Spark (PySpark preferred), including performance tuning and optimization.
• Strong SQL expertise—query optimization, transformations, and working with structured/semi‑structured data.
• Solid experience with AWS services such as S3, Glue, Lambda, EMR, EC2, RDS, IAM, CloudWatch, airflow, step functions etc.
• Strong understanding of observability platforms and their role in monitoring distributed systems.
• Hands‑on experience with cloud observability tools, specifically AWS CloudWatch and AWS CloudTrail
• Experience in designing data workflows in Databricks (good to have).
• Good understanding of AI/ML workflows, model lifecycle, and integration steps.

Core Skills

• Strong understanding of LLM architecture, including multi‑model/multi‑modal LLMs.
• Knowledge of LLM training concepts and RAG architecture.
• Ability to design solutions for structured & unstructured data.
• Expertise in scalable AI/LLM system design.

Good to Have

• Experience with LLM fine‑tuning (LoRA/SFT).
• Exposure to Agentic AI.
• Familiarity with AWS Bedrock.

• Mandatory BFSI domain knowledge—understanding of business processes, data types, regulatory expectations, and industry data patterns.
• Good exposure with version control (Git) and CI/CD pipelines (GitHub Actions, GitLab CI, AWS CodePipeline, Jenkins).
• Strong analytical, architectural thinking, and problem‑solving abilities.

• Excellent communication and collaboration skills, with the ability to work with business and technical teams.

Skills Required

:

AWS Architect

Role

:

Indore / Bangalore / Pune / Hyderabad

Top of Form

Job Description

Key Responsibilities

• Design and develop scalable data engineering solutions using Python, Spark, and SQL to support high‑volume data processing needs.
• Architect and optimize end‑to‑end data pipelines on AWS, ensuring reliability, performance, and cost efficiency.
• Collaborate with stakeholders to translate BFSI domain requirements into technical architectures and data models.
• Lead the development of frameworks/project, ensuring strong governance and best practices.
• Conduct code reviews, performance tuning, and solution validation for data engineering components.
• Provide architectural guidance and support for Databricks‑based processing (good to have).
• Exp of AI/ML components, including feature engineering and model deployment support.
• Ensure solutions align with security, compliance, and data quality standards—critical for BFSI environments.
• Mentor junior engineers and contribute to technical roadmaps, documentation, and design reviews.
• Troubleshoot complex issues across data pipelines, AWS services, and distributed systems.

Required Skills & Experience

• 12-15 years of strong experience as a Data Engineer or in a similar technical role with exposure to solution design/architecture.
• Hands‑on expertise in Python for building robust data pipelines and reusable engineering components.
• Advanced experience with Apache Spark (PySpark preferred), including performance tuning and optimization.
• Strong SQL expertise—query optimization, transformations, and working with structured/semi‑structured data.
• Solid experience with AWS services such as S3, Glue, Lambda, EMR, EC2, RDS, IAM, CloudWatch, airflow, step functions etc.
• Strong understanding of observability platforms and their role in monitoring distributed systems.
• Hands‑on experience with cloud observability tools, specifically AWS CloudWatch and AWS CloudTrail
• Experience in designing data workflows in Databricks (good to have).
• Good understanding of AI/ML workflows, model lifecycle, and integration steps.

Core Skills

• Strong understanding of LLM architecture, including multi‑model/multi‑modal LLMs.
• Knowledge of LLM training concepts and RAG architecture.
• Ability to design solutions for structured & unstructured data.
• Expertise in scalable AI/LLM system design.

Good to Have

• Experience with LLM fine‑tuning (LoRA/SFT).
• Exposure to Agentic AI.
• Familiarity with AWS Bedrock.

• Mandatory BFSI domain knowledge—understanding of business processes, data types, regulatory expectations, and industry data patterns.
• Good exposure with version control (Git) and CI/CD pipelines (GitHub Actions, GitLab CI, AWS CodePipeline, Jenkins).
• Strong analytical, architectural thinking, and problem‑solving abilities.

• Excellent communication and collaboration skills, with the ability to work with business and technical teams.

Experience

:

12 to 18 years

Job Reference Number

:

13579