Chief Cloud Architect for Data Engineering
hace 7 días
Company Overview
">We are Mytechtal, a dynamic startup pioneering data engineering and cloud optimization. Our cutting-edge platform requires exceptional talent to drive innovation.
">Position Overview
">We seek an experienced Senior Full Stack Engineer to lead our data systems and cloud infrastructure teams. This role entails designing scalable data pipelines, optimizing cloud infrastructure, and integrating machine learning models.
">Key Responsibilities
">Our ideal candidate will have the following key responsibilities:
">- Data Engineering & System Optimization: Design and implement efficient data pipelines leveraging cloud technologies, ensuring seamless 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 to improve data accuracy, scalability, and efficiency.
- KPIs & Performance Tracking: Define, track, and optimize key performance indicators to measure system performance, data flow, and model efficacy.
- Team Leadership & Mentorship: Collaborate with cross-functional teams, provide mentorship to junior engineers, and lead data-driven decision-making.
- Collaboration with Leadership: Work closely with senior leadership to allocate resources, prioritize projects, and ensure smooth communication between technical and non-technical teams.
Requirements
">To be successful in this role, you will need the following qualifications:
">- Experience: Minimum 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).
- AWS Experience: Strong experience with AWS services (EC2, S3, Lambda, RDS) for cloud-based architecture.
- SQL Expertise: Expertise in SQL and relational databases, with a track record of optimizing data storage and retrieval.
- Machine Learning Experience: Experience in building and maintaining machine learning models, preferably with TensorFlow or PyTorch.
- Leadership Skills: Strong communication, problem-solving, and collaboration abilities, with a history of leading projects, mentoring engineers, and driving innovation in complex technical environments.
What We Offer
">We offer a competitive salary range of $150,000 - $200,000, flexible work options, and a comprehensive benefits package. Join us in shaping the future of data engineering and cloud optimization.
">Location
">This role is based in Montreal, Canada (or remote). The ideal candidate will have the ability to relocate if necessary.
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