Senior Data Platform Engineer
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Requirements
• Experience: 5+ years of experience in data infrastructure, platform engineering, data engineering, or similar. • Cloud Providers: Demonstrated hands-on experience with Databricks. AWS experience is a plus but not required. • Cloud Providers: • Data Warehousing: Expertise in modern data warehouse and lakehouse architectures. • Data Warehousing: • Data Pipelines: Expertise in modern ETL technologies and building and supporting data pipelines at scale. • Data Pipelines: • Access Control and Management: Familiarity with access control, data governance, and security. • Access Control and Management: • Reliability: Demonstrated experience of reliability, observability, and monitoring of infrastructure and systems. • Reliability: • DevEx: Experience building and maintaining data platforms with a wide variety of stakeholders/users with a diversity of technical expertises. • DevEx: • Scalability: Demonstrated ability to scale cloud-based data workloads, whilst optimizing and monitoring cost • Scalability: • Communication: Excellent verbal and written communication skills, with the ability to convey complex ideas clearly. • Communication: • Adaptability: Comfortable working in a fast-paced, dynamic environment and adapting to changing priorities. • Adaptability: • Start-up experience is a plus. • Start-up • Health-tech experience is a plus. • Health-tech • Details • The annual salary for this role is $180,000-$200,000 + equity + benefits (including medical, dental, and vision) • Location: Remote, US or Canada.
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