Senior Data Infrastructure Architect

5 days ago


Montreal, Quebec, Canada Mytechtal Full time
About the Role

We are seeking a seasoned Senior Full Stack Engineer to spearhead data engineering, cloud infrastructure optimization, and machine learning integration for our next-generation platform. As a vital member of our technical team, you will leverage data pipelines, AWS cloud services, and cutting-edge machine learning technologies to drive scalable data systems and support product initiatives.

Key Responsibilities
  • Data Engineering & System Optimization: Design and implement robust data pipelines for ETL (Extract, Transform, Load), harnessing cloud technologies and ensuring efficient data processing.
  • Cloud Infrastructure Management: Optimize and manage AWS cloud infrastructure (EC2, S3, Lambda, RDS) to ensure high availability and reliability of our data systems.
  • Machine Learning & Automation: Automate data workflows and integrate machine learning models (TensorFlow, PyTorch) to enhance data accuracy, scalability, and efficiency.
  • KPIs & Performance Tracking: Define, track, and optimize key performance indicators (KPIs) to measure system performance, data flow, and model efficacy.
  • Team Leadership & Mentorship: Collaborate with cross-functional teams, provide guidance to junior engineers, and lead data-driven decision-making. Review code, guide deployments, and drive innovation in data practices.
  • Collaboration with Leadership: Work closely with senior leadership to allocate resources, prioritize projects, and ensure smooth communication between technical and non-technical teams.
Required Skills and Qualifications
  • Location: Must be based in Montreal, Canada, or willing to relocate.
  • Experience: Minimum of 10 years as a Full Stack Developer, with a strong focus on data systems design, cloud infrastructure, and data engineering.
  • Technical Skills:
    • Proficiency in TypeScript, Python, and familiarity with testing frameworks (e.g., Jest, PyTest).
    • Strong experience with AWS services (EC2, S3, Lambda, RDS) for cloud-based architecture.
    • Expertise in SQL and relational databases, with a track record of optimizing data storage and retrieval.
    • Experience in building and maintaining machine learning models (experience with TensorFlow or PyTorch preferred).
    • Familiarity with Apache Kafka, Apache Airflow, and other data ingestion and workflow orchestration tools.
    • Strong understanding of DeFi (Decentralized Finance) ecosystems and how to integrate decentralized data into traditional systems.
  • Leadership Skills: Strong communication, problem-solving, and collaboration abilities. A history of leading projects, mentoring engineers, and driving innovation in complex technical environments.
Why Join Us?
  • Work in a dynamic startup environment where your contributions directly impact company growth.
  • Be part of a cutting-edge team focusing on data engineering, cloud optimization, and machine learning.
  • Competitive salary and benefits package with flexible work options.
  • Opportunity to make a real impact on the future of the DeFi industry.

Salary: $175,000 - $225,000 per year



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