Senior Systems Engineer FinOps

JOB SUMMARY

The Senior Systems Engineer FinOps is a senior technical specialist responsible for driving cloud cost optimization financial accountability and engineering-led efficiency across large-scale data platforms. This role focuses on FinOps optimization across Snowflake AWS EMR and core AWS services (EC2 S3 Lambda Redshift Glue DynamoDB EKS).

The engineer designs and implements automation for tagging compliance budget guardrails workload efficiency and anomaly detection to ensure cost-effective scalable data solutions. Partnering with Cloud Platform Data Engineering DevOps Security and Finance teams the role enables cost transparency enforces governance through policy-as-code and reduces spending without impacting performance or reliability.

Leveraging FinOps best practices cost observability and automated controls this role ensures efficient operation of Snowflake EMR and AWS data pipelines while shaping scalable optimization strategies across a multi-cloud environment.

CANDIDATE PROFILE

Required Education & Experience

Bachelors degree in computer science Engineering or equivalent experience.
7 years of IT experience including:
o5 years in cloud platforms (AWS Azure or Ali Cloud).
o3 years of Snowflake cost optimization experience.
o3 years of AWS EMR optimization (Spark tuning cluster right-sizing Spot strategies).
Strong scripting and automation experience (Python Bash or similar).
Experience with cloud cost management tools (CloudHealth Cloudability AWS Cost Explorer Snowflake tools).
Experience in implementing FinOps strategies across AWS services.
Proven experience managing large-scale cloud budgets and driving cost savings.
Deep understanding of cloud pricing models cost drivers and optimization techniques.
Strong analytical and problem-solving skills.
Excellent communication and cross-functional collaboration abilities.

Preferred Education & Experience

Experience with Infrastructure as Code (Terraform CloudFormation Ansible).
Hands-on experience with containers and orchestration (Docker Kubernetes ECS EKS).
Experience with distributed data platforms (Spark Presto Iceberg Snowflake).
Knowledge of emerging cloud capabilities (e.g. EMR Serverless Snowflake Iceberg tables).
Familiarity with Linux/Windows operating systems and database platforms.
Understanding cloud security compliance and data protection practices.
Experience in large-scale enterprise environments.

CORE WORK RESPONSIBILITIES

Lead FinOps engineering by analyzing and optimizing cost usage and performance across Snowflake AWS EMR and AWS data services (EC2 EKS S3 Redshift Glue DynamoDB Lambda).
Design and implement automation for cost governance including anomaly detection budget controls tagging compliance and reservation planning supported by unified cost dashboards.
Partner with Finance to enable cost transparency through forecasting budgeting and chargeback/show back models while delivering actionable cost insights to leadership.
Provide technical leadership and architectural guidance for cost-efficient cloud solutions driving platform optimization standardization and best practices.
Build deliver and maintain scalable cloud data platforms ensuring high availability performance and observability through effective monitoring and alerting.
Establish operational standards automation frameworks and continuous improvement processes to enhance system reliability efficiency and engineering productivity.
Ensure compliance with IT governance and security standards while managing vendor relationships monitoring SLAs/KPIs and driving continuous service improvement.

At Marriott International we are dedicated to being an equal opportunity employer welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and greatest strength lies in the rich blend of culture talent and experiences of our are committed to non-discrimination on any protected basis including disability veteran status or other basis protected by applicable law.