Quick overview
Job description
• Minimum 7 years of IT experience in data technologies, including experience supporting, engineering, and operating enterprise data and analytics platforms in cloud-based environments.
• 5+ years of hands-on experience with Snowflake and modern cloud-based data platforms, including technologies such as dbt, Azure, and related data ecosystem tools. Experience with Snowflake administration, performance tuning, security, operational support, and cost optimization is highly desirable
• Strong experience with SQL and Python for automation, diagnostics, troubleshooting, operational support, and platform improvements. Experience designing, implementing, and supporting CI/CD pipelines, source control practices, deployment automation, and DevOps processes for data platform solutions
• Solid understanding of data warehousing, ELT/ETL frameworks, orchestration, data modeling, APIs, analytics/reporting platforms, and modern cloud data architectures
• Experience monitoring, troubleshooting, and optimizing production platforms, including observability, incident management, root-cause analysis, performance tuning, and reliability improvements
• Knowledge of cloud cost management, platform governance, and emerging data technologies such as lakehouse architectures, open table formats (e.g., Apache Iceberg), and next-generation analytics platforms.
• Strong analytical, problem-solving, and communication skills, with a demonstrated ability to take ownership, work independently, quickly learn new technologies, and collaborate effectively across technical and business teams
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