Sr AWS Data Architect

Ccube; Indore District; Hybrid; INR 4,200,000 - 6,500,000; Full time

Job summary

Ccube is seeking a Senior AWS Data Architect in Indore, Hybrid, to design and optimize enterprise data platforms on AWS. You will bridge architecture strategy with hands-on engineering, building scalable data lakes, data warehouses, and ETL pipelines while ensuring security, governance, and cost effectiveness.

The ideal candidate brings 10+ years in data engineering with cloud focus, and will lead collaborations with Data Scientists, Product Managers, and DevOps teams to align data solutions

Qualifications

• Must have 10+ years in data engineering with strong cloud exposure on AWS.
• Proven ability to design enterprise-grade data lakes and data warehouses on AWS.
• Experience building robust ETL/ELT pipelines and governance controls.

Responsibilities

• Design secure, scalable enterprise data lakes, data warehouses on AWS.
• Build and maintain real-time and batch ETL/ELT pipelines.
• Model data concepts to support analytics and ML.
• Optimize cloud resources for performance and cost (FinOps).
• Mentor junior engineers and collaborate with Data Scientists and DevOps.

Skills

AWS Core Services

Python/Scala/Java

Spark/Hadoop/Flink

Data Modeling

Data governance

Terraform/AWS CloudFormation

CI/CD Tools

Leadership

Tools

Databricks

Snowflake

Terraform

AWS CloudFormation

GitHub Actions

Job description

Passionate about AWS and Data? Ccube wants you on the team!

We are looking for a highly skilled "Senior AWS Data Architect" to join our growing data and cloud team in Indore. The ideal candidate will be responsible for designing enterprise-scale data architectures, building robust data pipelines, and implementing scalable cloud-native data platforms on AWS.

This role requires a blend of strategic architecture expertise and hands-on engineering capabilities to transform complex data into actionable business insights while ensuring security, scalability, governance, and cost optimization.

Sr AWS Data Architect

Location:- Indore, MP (Hybrid)

Full Time

Experience: 10+ years in data engineering, with at least 4+ years focusing on cloud dataarchitecture.

About the Role

We are seeking a highly skilled and visionary SrAWS Data Architect to design, build, and optimize our next-generation data platforms. In this role, you will bridge the gap between high-level architectural strategy and hands-on engineering, transforming raw data into actionable business insights. You will architect scalable data lakes, design robust ETL pipelines, and ensure our cloud infrastructure remains secure, performant, and cost-effective.

Key Responsibilities

• Data Architecture:Design secure, scalable, and future-proof enterprise data lakes, data warehouses, and analytics platforms on AWS.
• Pipeline Engineering: Build and maintain automated, real-time, and batch ETL/ELT data pipelines using distributed processing frameworks.
• Data Modeling: Create conceptual, logical, and physical data models to support reporting, advanced analytics, and machine learning initiatives.
• Cloud Optimization: Monitor, troubleshoot, and optimize AWS resources for maximum performance and cost efficiency (FinOps).
• Governance & Security:Implement data governance, metadata management, masking, and encryption standards in compliance with industry regulations.
• Leadership & Collaboration:Mentor junior data engineers and collaborate closely with Data Scientists, Product Managers, and DevOps teams to align data solutions with business goals.

Must-Have Technical Skills

AWS Core Services: Amazon S3, Amazon Redshift, AWS Glue, Amazon EMR, Amazon Kinesis, and AWS IAM.

Programming Languages: Advanced proficiency in Python, Scala, or Java.

Data Processing:Expertise in distributed computing frameworks like Apache Spark, Hadoop, or Flink.

Database Technologies:Deep knowledge of both relational (SQL) and NoSQL databases (e.g., Amazon DynamoDB).

Data governance:AWS Lake formation

Infrastructure as Code (IaC):Experience with Terraform or AWS CloudFormation.

DataOps/CI/CD:Version control (Git) and deployment automation using tools like Jenkins, GitHub Actions, or AWS Code pipeline.

Preferred Qualifications

Certifications:AWS Certified Solutions Architect.

Modern Data Stack:Familiarity with tools like Databricks, Snowflake.