Senior Data Engineer, ACVMax

BetterCloud; Toronto; On-site; CAD 127,000 - 159,000; Full time

Job summary

A leading cloud technology firm is seeking a Senior Data Engineer to architect and deliver robust data solutions on AWS. You will design end-to-end data architectures, mentor engineering teams, and optimize AWS workloads for efficiency. Candidates should have over 7 years of data engineering experience, with proficiency in AWS and strong problem-solving skills. The role offers competitive compensation and is based in Toronto, Ontario.

Qualifications

• 7+ years of experience in data engineering.
• Experience with AWS solutions and data architectures.
• Strong mentoring capabilities with junior engineers.
• Hands-on coding/scripting skills in Python or Bash.

Responsibilities

• Design and implement data architectures on AWS.
• Lead design of data models and storage solutions.
• Mentor engineering teams on AWS services.
• Optimize AWS workloads for performance and cost.

Skills

Data engineering

AWS solutions design

Mentoring

Problem-solving

Communication

Python

Experience with hybrid cloud

Tools

AWS Glue

Postgres (Aurora)

AWS Cloud Tools

Job description

Overview

Who we are looking for: In this senior technical role for ACVMax, you will architect and deliver robust data pipelines, warehouses, and lakes that enable advanced analytics, machine learning, and business intelligence at scale. You will set technical direction, mentor engineering teams, and ensure best practices for performance, security, and cost-effectiveness in our cloud-based data ecosystem. You will collaborate with cross-functional teams to deliver high-quality, robust, and scalable solutions that empower our customers to manage and analyze their data effectively. You will have deep expertise in designing, building, and optimizing modern, scalable data platforms on AWS, MS SQL Server and MongoDB. You will set technical direction, mentor engineering teams, and ensure best practices for performance, security, and cost-effectiveness in our cloud-based data ecosystem. Our goal is evaluate, plan, and execute the evolution of our legacy data architecture to a more modern approach, allowing deprecation of legacy applications and empowering our new SaaS solutions.

What you will do

• Actively and consistently support all efforts to simplify and enhance the customer experience.
• Design and implement end-to-end data architectures on AWS, including data lakes, data warehouses, real-time streaming pipelines, and ETL / ELT processes.
• Build complex, self-healing data engineering pipelines on the AWS tech stack, create cloud delta lakes, and migrate legacy technology stacks to the Cloud.
• Extensive experience with reverse engineering legacy stored procedures into data pipelines built using AWS Glue.
• Lead the design of data models, storage solutions, and access patterns that support analytical and operational workloads. Deep understanding of data modeling in Postgres environments and the ability to reverse engineer legacy data models and redesign with foundational architectural principles (normalization, cardinality, ACID) for Postgres databases like Aurora.
• Collaborate with application architects, data scientists and data engineering teams to develop, enhance and define new data integrations and BI solutions.
• Act as a trusted advisor to stakeholders, bridging business needs with technical execution, and ensuring best practices in cloud architecture, security, and cost optimization.
• Mentor and guide engineering teams in implementing AWS services effectively and efficiently. Stay current with AWS service offerings and emerging cloud technologies.
• Optimize AWS workloads for performance, scalability and cost efficiency, leveraging tools like Trusted Advisor, Well-Architected Framework, and Cost Explorer.
• Mentor and coach junior engineers, delivering TechTalks and training sessions on a regular basis.
• Previous experience in the Auto Industry would be a significant added advantage.
• Perform additional duties as assigned.

What you will need

• Ability to read, write, speak and understand English.
• At least 7 or more years of experience in data engineering as a Senior Data Engineer with at least 4 years designing and implementing solutions on AWS.
• Solid understanding of SaaS, distributed systems, scalability, and high availability concepts.
• Experience mentoring junior data engineers, providing technical expertise, code reviews, and sharing best practices to foster professional growth.
• Excellent problem-solving skills and the ability to navigate complex technical challenges.
• Strong communication skills and the ability to collaborate effectively in cross-functional teams.
• Experience with hybrid cloud and multi-cloud strategies; familiarity with Azure and GCP.
• Hands-on coding / scripting in Python, Bash, or similar.

Compensation: $127,000.00 - $159,000.00 CAD annually. Final compensation will be determined based on experience, skillset, location, business needs, market demands, and other factors as permitted by law. No immigration or work visa sponsorship will be provided for this position.