[Hiring] Senior Data Engineer (Cloud FinOps) @In All Media

Role Description

You will join a high-impact engineering initiative focused on building a Cloud Economics Platform that enables advanced financial visibility and optimization across large-scale cloud environments. The platform acts as the central intelligence layer for cloud cost management, combining infrastructure telemetry with financial data to generate actionable insights. This role contributes directly to enabling engineering, product, and finance teams to make informed decisions around cloud spend, unit economics, and long-term cost optimization strategies. The environment is cloud-native and data-intensive, requiring strong expertise in distributed data processing, orchestration, and financial modeling within modern cloud ecosystems.

Key Responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines focused on cloud cost attribution and financial transparency
• Develop data models that integrate infrastructure telemetry with cost datasets to support performance-aware financial analysis
• Build automation frameworks that identify optimization opportunities, including Reserved Instances and Savings Plans strategies
• Enable data-driven decision-making by delivering high-quality datasets to Product, Engineering, and Finance stakeholders
• Own schema design and evolution for a Cloud Economics data warehouse, ensuring scalability and data integrity
• Perform end-to-end data validation and auditing to guarantee accuracy of financial reporting at an executive level

Qualifications

• Strong experience in Data Engineering, Cloud Engineering, or FinOps with a focus on cloud cost optimization
• Advanced proficiency in SQL, Python, and Scala
• Expertise with orchestration tools such as dbt, Airflow, or Dagster
• Deep hands-on experience with cloud platforms, especially AWS (Glue, Aurora, Athena), GCP, and Snowflake
• Experience implementing Infrastructure as Code using Terraform and working with CI/CD pipelines
• Solid experience building and consuming REST APIs for data ingestion
• Proven experience with Datadog for infrastructure and cost monitoring
• FinOps Practitioner or FinOps Engineer certification (mandatory)
• Experience working in Agile teams and remote environments
• Fluent English for daily communication

Nice-to-Have Skills

• Experience with discount modeling strategies such as Reserved Instances and Savings Plans
• Background in building advanced analytics dashboards for predictive cloud cost optimization
• Experience querying and optimizing large-scale data warehouses
• Exposure to financial modeling concepts related to unit economics in cloud environments

Time Zone & Collaboration

The role requires collaboration with teams aligned to the Central Time (CT) zone. Candidates should be available to overlap several hours with US-based teams.

Language

All interviews, documentation, and daily communication will be conducted in English.