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Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSAzureCloudPythonSparkSQL
About the role
Key responsibilities & impact- Design, build, and maintain ingestion/processing pipelines at scale using Python/SQL and Spark; operate within a lakehouse stack (Apache Iceberg or Delta Lake).
- Implement and optimize workflows on Databricks (Jobs, Workflows, Delta) and/or Snowflake (Warehouses, Tasks, Streams) and/or native cloud provider solutions (AWS / AZURE).
- Improve performance, reliability, and cost on AWS (S3, Redshift, Athena/Glue, Lambda), with strong observability and IaC practices.
- Apply security-by-design, data governance, and compliance best practices across storage, compute, and sharing layers.
- Partner with Product team and R&D team to prepare data for initial AI/ML use cases (feature pipelines, data quality, lineage).
- Enable secure, efficient data access for customers via connectors, APIs, and lakehouse sharing patterns (e.g., Delta Sharing, Snowflake data sharing).
Requirements
What you’ll need- Equivalent engineering school degree, or a Master's degree in Computer Science, Data Science, or Applied Mathematics.
- 7–12 years in data engineering or backend data platforms.
- Strong Python and SQL; experience with Spark and modern ELT/Orchestration (e.g., dbt, Airflow).
- Hands-on with Databricks and/or Snowflake in production.
- Experience on AWS (S3, Glue/Athena, Redshift, Lambda) and lakehouse formats (Iceberg or Delta Lake).
- Familiarity with data security, governance, and compliance.
- Proven experience with data modeling.
- Knowledge of cost management principles.
- Salesforce data knowledge is a plus, not mandatory.
- Foundational AI/ML understanding and motivation to contribute to early use cases.
- Fluent in English and French, clear communication, ownership mindset, and collaborative approach.
- Excellent interpersonal skills and ability to interact with diverse business stakeholders.
Benefits
Comp & perks- Hybrid: 3 days in the office / 2 days remote work.
- Flexible Work Environment – We support a hybrid, flexible office culture.
- Competitive & Rewarding – Offering industry-leading compensation and benefits.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLSparkDatabricksSnowflakeAWSAzuredata modelingELTorchestration
Soft Skills
clear communicationownership mindsetcollaborative approachinterpersonal skills
Certifications
Master's degree in Computer ScienceMaster's degree in Data ScienceMaster's degree in Applied Mathematics