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

Solid 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)

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📌 AWS Data Architect (Winnipeg)
🏢 Cognizant
📍 Winnipeg