Data Engineer

• Shape the technical direction, architectural standards, and data governance of the core Data Analytics platform
• Own logical and physical data modeling, warehouse design, and layered curation from staging through intermediate to mart
• Serve as Data Engineering Tech Lead and technical anchor for Analytical Engineers
• Lead end-to-end design and execution of data pipelines, including ingestion, API integrations, custom connectors, ELT/ETL processes, and orchestration
• Modernize the technology stack and elevate software engineering discipline across data pipelines
• Embed DataOps and CI/CD practices, including automated dbt testing, environment isolation, credential management, and data deployment standards
• Build and refine governance; evaluate and implement Data Catalog and Data Observability solutions
• Track data lineage, freshness, completeness, and automated failure alerting
• Tune Snowflake query performance, clustering, and warehouse sizing to optimize execution times and compute spend
• Drive MLOps workflows and AI-readiness initiatives, including semantic layers, data structures, and access patterns for AI agents and automated workflows
• Provide architectural guidance, design reviews, technical mentorship, and constructive challenge
• Evaluate new tools, frameworks, and architecture patterns to modernize and optimize the data stack
• Collaborate with Engineering, Infrastructure, Data Science/ML, and business stakeholders

Explore Tech Lead – Data Engineer at Cloudbeds. Review requirements and application details.

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