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Senior Data DevOps Engineer
Location
Florida
Posted
132 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data DevOps Engineer
The Leaflet
• Architect and lead the design of complex, enterprise-scale data pipelines using Airflow, DBT, and Databricks • Define and implement strategies for pipeline performance optimization to support real-time and batch processing at scale • Lead the design and optimization of AWS-based data infrastructure, including S3, Lambda, and Snowflake architecture • Establish and enforce best practices for cost-efficient, secure, and scalable data processing across the organization • Design and optimize AWS SageMaker environments for ML teams, ensuring optimal performance and resource utilization • Lead cross-functional collaboration with ML, Data Science, and Reporting teams to establish data strategy and ensure seamless data accessibility • Design and implement comprehensive data pipeline monitoring, alerting, and logging frameworks to proactively detect failures and performance bottlenecks • Architect automation solutions for data quality, lineage tracking, and schema evolution management • Lead incident response efforts, performing complex troubleshooting and root cause analysis for critical data issues • Champion and evolve Data DevOps best practices, driving automation, reproducibility, and scalability across the organization • Mentor junior and mid-level engineers, conducting code reviews and providing technical guidance • Establish technical standards, document complex infrastructure patterns, data workflows, and operational procedures • Evaluate and recommend new technologies and tools to improve data infrastructure and workflows.
Job Requirements
- Bachelor’s degree in computer science, Information Technology, or a related field, or equivalent work experience
- Master's degree preferred
- 6+ years of experience in DevOps, DataOps, or similar roles, with at least 2 years in a senior or lead capacity
- Deep expertise in key technologies, including Airflow, Snowflake, SageMaker, DBT, and Databricks
- Strong architectural experience with AWS services and cloud-native design patterns
- Proven track record of leading technical projects and mentoring engineering teams
- Certifications in AWS/Snowflake/other technologies strongly preferred
- Excellent communication, leadership, and interpersonal skills with demonstrated ability to influence technical direction
- Experience working in a fast-paced, high-velocity environment while managing multiple strategic priorities effectively
- Strong problem-solving skills with the ability to navigate ambiguity and make sound technical decisions.
Benefits
- Competitive pay and benefits
- Flexible vacation allowance
- Flexible work from home or office hours
- Startup culture backed by a secure, global brand
- Opportunity to build products enjoyed by millions as part of a passionate team
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