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Data Platform Architect

2 months ago


Toronto, Ontario, Canada iStockPhoto Full time

About iStockPhoto: iStockPhoto is a leading provider of high-quality, royalty-free images and footage, empowering creators worldwide to bring their visions to life. Our mission is to connect individuals with the visual content they need to tell compelling stories and inspire audiences.

About the Team: The Data Platform team at iStockPhoto is responsible for building and maintaining the robust infrastructure that powers our data-driven operations. We collaborate closely with engineering, product, and business teams to deliver innovative solutions that enhance user experience and drive growth.

Data Platform Architect

As a Data Platform Architect, you will play a pivotal role in designing, developing, and maintaining the core data systems that underpin iStockPhoto's success. You will be responsible for:

  • Developing and Maintaining: Backend engineering for microservices serving as access points to iStockPhoto's data and AI platform.
  • Building Scalable Solutions: Creating software solutions to enhance data processing and analytics capabilities, ensuring high performance and reliability.
  • Cross-Functional Collaboration: Working closely with engineering, data science, and product teams to understand requirements and deliver impactful solutions.
  • Focus on Reliability and Security: Implementing robust security measures and ensuring the availability and resilience of data services.
  • Ownership and Quality: Taking ownership of projects from conception to deployment, maintaining high code quality and adherence to best practices.
  • Automation: Leading efforts to automate manual processes and build efficient data pipelines.

Skills and Qualifications:

  • Minimum 5 years of experience in data engineering.
  • Proficiency in Python, Spark, and MySQL.
  • Extensive experience with AWS cloud engineering.
  • Expertise in Databricks and Snowflake warehousing.
  • Experience in DevOps using Terraform and monitoring tools.
  • Strong leadership skills and ability to balance priorities.
  • Bachelor's or Master's degree in Computer Science or related field.

Nice to Have:

  • Experience with containers, search algorithms, CI/CD, and NLP.