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 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. Up-to-date Data Stack: Familiarity with tools like Databricks, Snowflake.

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📌 Sr AWS Data Architect (AWS Data Platform) (Winnipeg)
🏢 Ccube
📍 Winnipeg