AWS Data Tech Lead & Architect

Dedicatted; Montreal; On-site; CAD 120,000 - 180,000; Full time

Job summary

Dedicatted is seeking an experienced AWS Data Tech Lead/Architect to design and deliver scalable, secure data solutions on AWS. This hands-on leadership role is long-term and full-time, based in Ontario or Quebec, Canada, with readiness for business trips to Montreal in the near term.

You will design data platforms, define architectures, govern data, and mentor teams while ensuring performance, security and cost optimization across data lakes, warehouses and lakehouse styles.

Qualifications

• 5+ years in data architecture/engineering.
• 3+ years hands-on AWS experience.
• Experience with data lakes, data warehouses and lakehouse.
• Strong SQL; Python/Java/Scala programming.
• Knowledge of ETL/ELT and data pipelines.
• Data modeling and governance understanding.
• Experience with Spark, Kafka, Airflow, dbt.

Responsibilities

• Design AWS data platforms, lakes, warehouses and ETL/ELT pipelines.
• Define data architecture, models, integrations and governance.
• Collaborate with data engineers, developers, architects and business teams.
• Provide technical guidance and review designs.
• Lead data migration and modernization projects.
• Ensure data security, quality, performance and cost optimization.

Skills

5+ years exp

3+ yrs AWS

AWS data services

Data lakes & warehouses

ETL/ELT pipelines

SQL

Python/Java/Scala

Data modeling

Spark Kafka Airflow dbt

Cloud security IAM

CI/CD IaC DevOps

Data migration

Stakeholder mgmt

Communication

Tools

S3

Glue

Redshift

Athena

Lambda

EMR

Kinesis

Lake Formation

Spark

Kafka

Airflow

dbt

Job description

Dedicatted is seeking an experienced AWS Data Tech Lead/Architect to design and deliver scalable, secure data solutions on AWS. This hands-on leadership role is long-term and full-time, based in Ontario or Quebec, Canada, with readiness for business trips to Montreal in the near term.

You will design data platforms, define architectures, govern data, and mentor teams while ensuring performance, security and cost optimization across data lakes, warehouses and lakehouse styles.