Data Tech Lead/Architect (AWS)

DEDICATTED; Montreal; In loco; CAD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

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

Strumenti

S3

Glue

Redshift

Athena

Lambda

EMR

Kinesis

Lake Formation

Spark

Kafka

Airflow

dbt

Descrizione del lavoro

We are looking for an experienced AWS Data Tech Lead/Architect to design and deliver scalable, secure, and cost-effective data solutions on AWS. The role requires hands‑on work.

Engagement: long‑term, full‑time.

Location: ON/QC (ideally), Canada. !!! Readiness for business trips to Montreal in the next 3 months.

Responsibilities

• Design AWS data platforms, data lakes, warehouses, and ETL/ELT pipelines.
• Define data architecture, data models, integration patterns, and governance standards.
• Work with AWS services such as S3, Glue, Redshift, Athena, Lambda, EMR, Kinesis, and Lake Formation.
• Lead data migration and modernization projects.
• Ensure data security, quality, performance, and cost optimization.
• Work closely with data engineers, developers, architects, and business teams.
• Provide technical guidance and review architecture/designs.

Required Skills and Experience

• 5+ years of experience in data architecture, data engineering, or related roles.
• 3+ years of hands‑on AWS experience designing and implementing data solutions.
• Strong knowledge of AWS data and analytics services.
• Experience designing data lakes, data warehouses, and lakehouse solutions.
• Strong understanding of ETL/ELT, data pipelines, and distributed data processing.
• Proficiency in SQL and experience with Python, Java, or Scala.
• Strong knowledge of data modeling, dimensional modeling, and database architecture.
• Experience with technologies such as Spark, Kafka, Airflow, dbt, or similar platforms.
• Experience with cloud security, IAM, encryption, networking, and data governance.
• Understanding of CI/CD, Infrastructure as Code, and DevOps practices.
• Experience with data migration and modernization projects.Strong analytical, problem‑solving, communication, and stakeholder‑management skills.

Working conditions

• 16 days of paid time off.
• Official public holidays.
• Participation in company events.
• Health insurance.
• Engaging projects with opportunities for career growth.
• Certifications, Claude/other tools needed.
• Corporate events, team‑building activities.
• Gifts and recognition from the company.
• A friendly, open, and supportive team culture without excessive bureaucracy.