Sr AWS Data Architect (AWS Data Platform)

## 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 Data Architect (AWS Data Platform)
Location:-  - Missisauga, ON (Hybrid, 3 Days a week)
Full Time

Experience:  10+ years in data engineering, with at least 3+ years focusing on cloud data architecture.

About the Role

We are seeking a highly skilled and visionary  Sr AWS 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 Language s: 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.