At Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our global teams bring curiosity, commitment, and technical excellence to every project. We value transparency, autonomy, and impact—empowering every team member to do their best work.
We’re seeking an experienced Data & FinOps Engineer to join a high-impact GCP platform engagement. This role sits at the intersection of data engineering and cloud financial operations—owning audit log pipelines, legally defensible immutable storage, cost attribution infrastructure, and real-time cloud spend visibility. You’ll build the observability and governance backbone that keeps a complex, multi-tenant platform compliant, traceable, and cost-efficient.
Actively Hiring
We are hiring for a current opening on an active client project. This is a specific, presently open role. We review applications on a rolling basis and aim to move qualified candidates through our process promptly.
What You’ll Do
- 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.
What We’re Looking For
- 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.
Nice to Have (Not Required)
- 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.
Why Lumenalta is an amazing place to work at
At Lumenalta, you can expect that you will:
- 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.
Location
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.
Application Deadline
Applications will be accepted until July 12th, 2026. Candidates can expect feedback by July 20, 2026.