While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Work Location: Remote (Canada/USA)
Description:
As a Data Architect at Quantiphi, you will lead our ingenious data engineering teams in creating transformational solutions involving cloud migration and advanced data engineering workloads.
Skills:
Proven experience in designing large-scale enterprise platforms with a focus on producer-consumer architectures.
Data Modeling Expertise: Strong background in data modeling techniques and tools to support complex business needs.
Redshift Proficiency: Extensive experience with Amazon Redshift for data warehousing, including performance optimization techniques.
Spark Knowledge: Proficient in using Apache Spark for big data processing and analytics within AWS environments.
Datazone/ALF Familiarity: Understanding of Datazone or ALF for managing complex data workflows is essential.
Airflow Experience: Familiarity with Apache Airflow for orchestrating complex workflows is a plus
What is in it for you:
Be part of the fastest-growing AI-first digital transformation and engineering company in the world
Be a leader of an energetic team of highly dynamic and talented individuals
Exposure to working with fortune 500 companies and innovative market disruptors
Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business.
Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
