Sr AWS Data Architect (AWS Data Platform)

Ccube; Mississauga; Hybrid; CAD 140,000 - 180,000; Full time

Job summary

Ccube in Mississauga, ON (Hybrid, 3 days a week) is seeking a Senior AWS Data Architect to design, build, and optimize next-generation data platforms on AWS. You will bridge strategy and hands-on engineering, transforming raw data into actionable insights while ensuring security, scalability, governance, and cost control.

The role requires 10+ years in data engineering with 3+ years focused on cloud data architecture, and collaboration with data science and DevOps teams to align data solutions

Qualifications

• AWS Core Services knowledge (S3, Redshift, Glue, EMR, Kinesis, IAM).
• Programming languages: Python, Scala, or Java.
• Experience with distributed processing frameworks (Spark, Hadoop, Flink).
• Strong SQL and NoSQL database expertise.
• Data governance, metadata management, masking, encryption.
• Infrastructure as Code tools (Terraform or CloudFormation).
• CI/CD practices with Git tooling and deployment automation.

Responsibilities

• Design secure, scalable enterprise data lakes, data warehouses, and analytics on AWS.
• Build and maintain automated real-time and batch ETL/ELT pipelines.
• Create conceptual, logical, and physical data models for analytics and ML.
• Monitor and optimize AWS resources for performance and cost (FinOps).
• Implement governance and security controls compliant with regulations.
• Mentor junior engineers and collaborate with data scientists and DevOps.

Skills

AWS Core Services

Programming languages

Distributed processing

Databases (SQL/NoSQL)

Data governance

IaC (Terraform/CloudFormation)

DataOps/CI/CD

Tools

Terraform

AWS CloudFormation

Jenkins

GitHub Actions

AWS CodePipeline

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 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 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.