5 days ago
Seattle, WA, USA or San Francisco, CA, USAStaff+
Base Salary
$165k - $266k/yr
Responsibilities
- Build batch and streaming pipelines for Azure and GCP billing data that can extend to additional cloud providers.
- Normalize provider-specific billing and usage data into a consistent FOCUS-aligned model.
- Ingest and join resource inventory, tagging, ownership, product, service, and environment metadata.
- Implement reconciliation checks across source billing systems, the normalized warehouse, and downstream reporting datasets.
- Establish data contracts, schemas, lineage, freshness and completeness checks, and failure-handling patterns.
- Create reusable transformations for executive dashboards, product-level cost views, burn-rate reporting, and anomaly detection.
- Build operational monitoring for freshness, latency, volume, schema drift, and failed records.
- Partner with platform, FinOps, Finance, and service-owning teams to resolve data-quality gaps and improve attribution coverage.
- Document pipeline behavior, ownership, runbooks, recovery procedures, and data limitations.
- Improve automation, testing, deployment safety, reliability, and data-platform cost efficiency.
- Build or integrate event-driven ingestion so new Cost Management exports trigger processing automatically.
- Participate in on-call rotations and contribute to reliability and incident-response improvements.
- Support Microsoft Fabric, Data Lake, Data Factory, and KQL-based consumption patterns where appropriate.
Requirements
- 12+ years of professional experience designing and delivering production data platforms or data products, including leading technical design for complex data systems.
- Experience with SQL and Python or an equivalent data-engineering language.
- Experience with data modeling, ELT/ETL architecture, orchestration, testing, observability, and operational ownership.
- Experience translating business rules into scalable, configurable, and auditable data-processing systems.
- Experience leading technical decisions across multiple teams and stakeholders.
- Preferred experience with FinOps, cloud-cost allocation, showback or chargeback, cost-to-serve, or unit-economics systems.
- Preferred experience with multi-cloud billing normalization and FOCUS-aligned data models.
- Preferred experience with shared-cost allocation, finance-system and revenue-data integration, forecasting, anomaly detection, performance-to-cost analytics, or margin reporting.
- Preferred technical leadership or mentoring experience for a data-engineering team.
- Preferred experience designing FinOps data products on Microsoft Fabric or a comparable eventhouse or warehouse architecture.
- Preferred experience with repeatable infrastructure or deployment automation, pre-flight validation, idempotent recovery, and verification reporting.
- Strong communication skills, including explaining data lineage, assumptions, and tradeoffs to technical and non-technical audiences.
Benefits
- Hybrid work arrangement with a minimum expectation of two days per week in the office, subject to team variation.
- Paid time off and paid company holidays based on region.
- Up to six months of paid parental leave after birth, adoption, or foster-care placement.
- Health benefit options including fully employer-paid and minimum employee-contribution plans from the first day of employment.
- Retirement and pension plans with potential employer contributions.
- Learning and development support including coaching, online courses, and education reimbursements.
- Compassionate care leave for bereavement and other life-changing events.
- Eligibility for a company bonus plan and Restricted Stock Units.
- This position is not eligible for employment in Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia, or Wyoming.
Tech Stack
Categories
Data Engineering
About DocuSign
DocuSign builds e-signature, contract lifecycle management, and agreement workflow software used by businesses to prepare, sign, and manage contracts. It sells cloud-based subscriptions and APIs that integrate with systems like Salesforce, Microsoft, and Google to automate document workflows and compliance. Founded in 2003 and headquartered in San Francisco, DocuSign is a public company on NASDAQ with over 1.5 million customers in more than 180 countries.