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Senior AWS Data Architect

unlimited holidays - fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Deep expertise in data architecture., Strong knowledge of AWS technologies., Proven leadership ability in enterprise settings., Expertise in SQL, Python, Spark/Scala., Bachelor's degree in Computer Science required..

Key responsabilities:

  • Lead design and implementation of data solutions.
  • Collaborate with stakeholders to gather requirements.
  • Serve as technical lead on AWS data tech.
  • Plan and deliver data solutions aligning with goals.
  • Mentor team members for continuous learning.
Toast logo
Toast Startup https://www.trytoast.ca
2 - 10 Employees
See more Toast offers

Job description

This is a remote position.

Please note: Toast is recruiting on behalf of this company for future opportunities. While this position is not currently available, we are building a pipeline for upcoming roles. If you are interested in being considered for future openings, we encourage you to apply and stay connected with us for updates.

Toast is recruiting on behalf of this company for an experienced Data Architect to join the rapidly expanding AWS Alliance team. In this role, you will be instrumental in designing and delivering cutting-edge data solutions that enable clients to deploy analytics, advanced analytics, and AI models. Your expertise in transforming vast datasets into actionable insights will help clients achieve their business goals and maximize the value of their data platforms.

Key Responsibilities:

  • Solution Delivery: Lead the design and implementation of data acquisition, storage, and transformation processes, ensuring data quality, integrity, and seamless integration of large-scale datasets.
  • Stakeholder Collaboration: Work with stakeholders to gather requirements, design solutions, and articulate the impact on business goals.
  • Technology Leadership: Serve as the technical lead on AWS data technologies, providing guidance to project teams and ensuring alignment with AWS best practices.
  • Project Oversight: Plan, execute, and deliver data solutions that align with client objectives, addressing risks and blockers as they arise.
  • Best Practices: Establish and maintain best practices for data solution architecture and ensure adherence to Agile methodology and Scrum frameworks.
  • Team Development: Mentor and coach team members, fostering innovation, continuous learning, and professional growth within the data engineering team.
  • Communication & Reporting: Provide regular updates to stakeholders, translating complex data concepts into understandable insights.
  • Support Practice Growth: Participate in recruiting, sales activities, and marketing initiatives, such as writing thought leadership content and contributing to industry events.


Requirements
  • Expert Data Knowledge: Deep expertise in data architecture, including data lakes, data governance, and security.
  • AWS Expertise: Strong knowledge of AWS data technologies and cloud-based data architectures, including experience in migrating data platforms from on-prem to AWS.
  • Leadership Experience: Proven ability to lead multi-workstream data engagements in enterprise settings and manage technical teams effectively.
  • Technical Skills: Expertise in SQL, Python, Spark/Scala, AWS infrastructure, and CI/CD frameworks. Knowledge of AI tools like Amazon Bedrock and SageMaker is a plus.
  • Communication Skills: Ability to explain complex technical concepts to non-technical stakeholders.
  • Education: Bachelor’s degree in Computer Science, Machine Learning, or a related field. Advanced degrees and AWS certifications are a bonus.


Benefits
This company offers a competitive compensation package, flexible work arrangements, and an inclusive environment that fosters professional growth. You will have the opportunity to work on impactful projects while being supported by diverse teams that value innovation and collaboration.

This role includes a hybrid work model, encouraging in-person collaboration 50% of the time to maximize team connectivity and client success.

This is a chance to lead cutting-edge data initiatives while working in a forward-thinking, inclusive organization that supports your career growth and work-life balance.

Toast's Process:

  1. Application Review: Submit your application, including your resume and cover letter, through our online portal. Our team will carefully review your qualifications and experiences. We take pride in responding promptly, so if your application aligns with our current opportunities, you’ll hear back from us with next steps. Your journey with Toast begins here, and we’re excited to see what you bring to the table!
  2. Vetting Call: If your application is successful, we’ll schedule a vetting call with a member of the Toast team. This 30-45 minute informal conversation is designed for us to get to know you better and assess your skills. Be prepared to discuss your past projects, the challenges you’ve tackled, and the impact you’ve made. This is your chance to shine and show us why you’re a great fit for the roles we offer.
  3. Profile Creation: Once you’ve impressed us in the vetting call, we’ll create an unbiased profile that highlights your experience while minimizing common biases. Instead, we focus on your skills, industry experience, and the impact you’ve made. This way, your profile reflects your true potential and accomplishments.
  4. Client Submission: After crafting your unbiased profile, we submit it to our trusted clients. We work closely with these clients to ensure they understand the value you bring. Throughout their interview process, we remain by your side, providing support and guidance. Our goal is to help you navigate the hiring process smoothly and confidently, ensuring you have the best chance to secure a role that fits your skills and aspirations.




Salary:

TBA

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Leadership
  • Verbal Communication Skills
  • Mentorship

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