Take ownership of the (re)design, (re)architecture, and deployment of critical, highly-scalable data systems.
Act as a technical leader in cross-functional projects, proactively shaping requirements and influencing product/engineering roadmaps to ensure data feasibility and scalability.
Design and implement solutions for data observability, monitoring usage dashboards/metrics, and defining quality standards to ensure trust and reliability across the entire data mesh.
Coach and mentor other engineers and analysts in data engineering best practices, driving the adoption of self-service tools and technical standards across domain teams.
Actively contribute to major architectural improvements and research/propose new technologies to shape the strategic direction of Orfium's data platform and data products.
Requirements
Bachelor’s degree in Computer Science, Data Science, or a relevant technology field.
At least 4 years of professional experience in Data Engineering.
Proficiency in SQL and strong skills in Python for data manipulation and pipeline development.
Expertise in Snowflake or similar modern data warehouses (Databricks, BigQuery), including performance tuning, cost optimization, and governance.
Experience with AWS or another major cloud provider, specifically in utilizing services for data infrastructure.
Proven ability to establish and enforce best practices for data engineering CI/CD workflows.
Demonstrated ability to drive architectural decisions of complex data initiatives.
Benefits
Competitive salary package and participation in our Stock Options plan
Hybrid work model with flexibility to support your lifestyle
Comprehensive private health and life insurance coverage
Extra paid time off to recharge and take care of yourself
The latest tech equipment to support your productivity and creativity
A collaborative, inclusive, and international work environment
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