AWS Data Architect

Cognizant; Canada; On-site; CAD 100,000 - 130,000; Full time

Job summary

Cognizant is seeking an experienced AWS Data Architect in Canada to design and optimize scalable data solutions on AWS. The role requires deep expertise in cloud-based data architectures, data lakes, and advanced analytics. Candidates should have 8+ years of experience, 5+ years hands-on with AWS, and proficiency in SQL and programming languages (Python, Java, Scala). Responsibilities include building ETL/ELT pipelines and ensuring best practices for AWS architectures.

Qualifications

• 8+ years of experience in data engineering or data architecture.
• 5+ years of hands-on experience with AWS cloud services.
• Proficiency in SQL and one or more programming languages (Python, Java, or Scala).

Responsibilities

• Design and implement end-to-end data architectures on AWS.
• Architect and optimize data lakes and data warehouses using AWS services.
• Build scalable ETL/ELT pipelines using AWS Glue, Lambda, and other tools.

Skills

AWS cloud services

Data architecture

SQL

Python

Java

Scala

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Amazon S3

Redshift

Glue

Athena

Kinesis

EMR

Lambda

Step Functions

Job description

We are seeking an experienced AWS Data Architect to design, build, and optimize scalable data solutions on Amazon Web Services (AWS). The ideal candidate will have deep expertise in cloud‑based data architectures, data lakes, data warehouses, streaming platforms, and advanced analytics, along with the ability to translate business requirements into secure, high‑performance data solutions.

Key Responsibilities

• Design and implement end‑to‑end data architectures on AWS, including data ingestion, storage, processing, and analytics
• Architect and optimize data lakes and data warehouses using services such as Amazon S3, Redshift, Glue, Athena, and Lake Formation
• Define data models and standards for structured, semi‑structured, and unstructured data
• Build scalable ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, EMR, or Apache Spark
• Design and support real‑time and batch data processing using Kinesis, MSK, or similar streaming tools
• Ensure solutions follow AWS Well‑Architected Framework best practices (security, performance, cost optimization, reliability)
• Collaborate with stakeholders, data engineers, analysts, and application teams to align architecture with business objectives
• Implement data governance, security, encryption, and IAM policies
• Guide cloud cost optimization strategies and monitor performance
• Provide technical leadership, architecture reviews, and mentorship to engineering teams
• Support cloud migrations from on‑prem or other platforms to AWS

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 8+ years of experience in data engineering or data architecture
• 5+ years of hands‑on experience with AWS cloud services
• Strong expertise in:
• Amazon S3, Redshift, Glue, Athena
• EMR, Lambda, Step Functions
• Kinesis / MSK (streaming)
• Proficiency in SQL and one or more programming languages (Python, Java, or Scala)