Note: The job is a remote job and is open to candidates in USA. Lumenalta partners with forward-thinking organizations to build scalable technology solutions. They are seeking a Senior Data & FinOps Engineer to manage data engineering and cloud financial operations, focusing on audit log pipelines, cost attribution infrastructure, and ensuring compliance and cost efficiency.
Responsibilities
- Design and maintain BigQuery audit datasets—including schema design for legally defensible logging, Object Lock/immutability configuration for tamper-proof retention, and access controls aligned with compliance requirements
- Build and operate Cloud Audit Log pipelines, routing MCP inputs and outputs continuously into structured, queryable audit stores for security, compliance, and operational review
- Engineer Cloud Billing export pipelines and construct Looker Studio dashboards that surface real-time cost visibility, spend trends, and budget forecasting for engineering and stakeholder audiences
- Implement FinOps tagging and labeling strategies across GCP resources—enabling granular cost attribution by tenant, project, and user to support chargeback, showback, and optimization workflows
- Configure Cloud Monitoring alerting for quota exhaustion and cost anomalies, ensuring engineering teams are notified proactively before limits or budget thresholds are breached
- Build metadata pipeline engineering workflows that feed structured metadata into archive management systems, maintaining data lineage, retention schedules, and lifecycle policy enforcement
- Design, build, and maintain reliable ETL pipelines from the ground up—ensuring data quality, consistency, performance, and reliability across the platform
- Partner with data, product, and engineering stakeholders to deliver high-quality, actionable data infrastructure that serves both operational and compliance needs
Skills
- 7+ years as a Data Engineer, with demonstrated experience building production data pipelines and a growing specialization in cloud cost management and audit/compliance infrastructure
- Strong hands-on experience with BigQuery—including audit dataset design, schema modeling for compliance use cases, and Object Lock/immutability configuration for legally defensible log retention
- Experience routing and processing GCP Cloud Audit Logs into structured pipelines, with an understanding of log sink design, filtering, and continuous delivery patterns for MCP or equivalent workloads
- Proven ability to implement Cloud Billing exports, design FinOps tagging/labeling taxonomies, and build Looker Studio dashboards that provide tenant-, project-, and user-level cost attribution
- Experience configuring quota-exhaustion and cost-anomaly alerting in Cloud Monitoring—designing alert policies, notification channels, and escalation thresholds for multi-tenant environments
- Familiarity with metadata pipeline engineering feeding into archive management systems, including lifecycle policy enforcement and retention schedule automation
- Strong proficiency in Python for pipeline development and advanced SQL for querying large datasets in BigQuery and related GCP data services
- Experience implementing data quality checks, monitoring, and CI/CD pipelines for data workflows to ensure platform reliability
- Strong written and verbal communication skills in English
- Experience with Airflow, Kafka, or similar orchestration and messaging tools
- Familiarity with data governance, DLP policies, or privacy compliance standards
- Exposure to Looker (not just Looker Studio) for more advanced BI and cost reporting
- Google Cloud Professional Data Engineer or FinOps Certified Practitioner certification
Benefits
- FULL_TIME
- TELECOMMUTE
- Be 100% dedicated to one project at a time so that you can innovate and grow.
- Be a part of a team of talented and friendly senior-level developers.
- Work on projects that allow you to use leading tech.
- This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.
Company Overview