Company Description
SSENSE is a global technology platform operating at the intersection of culture, community, and commerce. Headquartered in Montreal, it features a mix of established and emerging luxury brands across womenswear, menswear, kidswear, and Everything Else™. SSENSE has garnered critical acclaim as both an e-commerce engine and a producer of cultural content, generating an average of 100 million monthly page views, with approximately 70% of its audience between the ages of 18 to 40.
Job Description
About the team:
We are looking for a Senior Platform Developer - Data/ML to join our team and drive the advancement of our Data Democratization Platform. In this role, you will design, implement, and manage our cloud-based data infrastructure and deployment pipelines on AWS. Combining expertise in data engineering and machine learning engineering, you will focus on building scalable pipelines, reusable components, and self-serve capabilities. Leveraging a robust AWS stack and innovative tools, you will empower domain teams to independently deliver impactful data and machine learning solutions.
Why join us:
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Design, build and maintain platform components to support data engineering workflows and machine learning pipelines, enabling scalability and self-service for domain teams;
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Develop robust CI/CD pipelines using Jenkins for seamless integration and deployment of data and ML workflows;
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Design and implement scalable real-time and batch data pipelines using AWS S3, Glue, Lambda, Step Functions, Redshift and Lake Formation;
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Collaborate with domain teams to design domain-specific data products that are reliable, reusable, and aligned with Data Mesh principles;
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Design and deploy ML pipelines using tools such as MLflow, Bedrock, and SageMaker to support end-to-end model development, training, and deployment.
Qualifications
How To Excel In This Role:
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A minimum of 5-7 years of experience in Data Engineering, ML Engineering or related field, including 3 years experience with Apache Spark for big data processing;
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Deep understanding of Data Mesh principles, including domain-oriented data product ownership and federated governance as well as a deep understanding of Machine Learning lifecycle;
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Proficiency in designing and building pipelines using AWS services such as S3, Glue, Lambda, Redshift, Athena, SageMaker and Kinesis and strong experience with CI/CD pipelines, especially using Jenkins;
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Extensive knowledge of Python programming language and its data manipulation libraries (Pyspark, Pandas and Numpy).
What Sets You apart:
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Analytical and Detail-Oriented: Highly analytical with a strong focus on details and a solution-oriented mindset to tackle challenges effectively.
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Coaching and Mentoring: Skilled in coaching and mentoring junior employees to support their personal and professional development.
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Accountability and Ownership: Demonstrates strong teamwork, high accountability, and ownership of tasks and projects.
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Adaptability and Influence: Capable of driving change, influencing others, and thriving in a fast-paced environment with rapidly evolving web technologies.
Additional Information
Perks And Benefits:
- Extended health and dental benefits, including comprehensive mental health programs and coverage
- Parental top up program
- Generous Employee Discount
- Access to telemedicine and employee and family assistance program
- Savings and retirement plan matching contributions
- Gender Affirmation Coverage
- Opportunity to work with cutting edge technologies and an innovative team that’s pushing the boundaries of technology
SSENSE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you need special accommodations, let us know. We will do our best to accommodate you
Hybrid
#LI-Hybrid
