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Docusign

Runs electronic signing and agreement workflows

Lead Assignment Engine Data Engineer

Data EngineeringPosted on Nov 6
Full-timeHybrid

About the Job

Requirements

  • At least 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.

Responsibilities

  • Build batch and/or streaming pipelines for Azure and GCP billing data, using an architecture 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 between source billing systems, the normalized warehouse, and downstream reporting datasets.
  • Establish data contracts, schemas, lineage, freshness checks, completeness checks, and failure-handling patterns.
  • Create reusable transformations supporting executive dashboards, product-level cost views, burn-rate reporting, and anomaly detection.
  • Build operational visibility for pipeline health, including freshness, latency, volume, schema drift, and failed-record monitoring.
  • 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 known data limitations.
  • Improve automation, test coverage, deployment safety, and cost efficiency of the data platform.
  • Build or integrate event-driven ingestion patterns so new Cost Management exports trigger processing without manual refreshes.
  • Participate in on-call rotations and contribute to improving system reliability and incident response.
  • Support Microsoft Fabric, Data Lake, Data Factory, and KQL-based consumption patterns where they fit the target architecture.

Desired Qualifications

  • Experience with FinOps, cloud-cost allocation, showback/chargeback, cost-to-serve, or unit-economics systems.
  • Experience with multi-cloud billing normalization and FOCUS-aligned data models.
  • Experience with shared-cost allocation across observability, storage, networking, databases, or data platforms.
  • Experience integrating finance systems and revenue data.
  • Experience with forecasting, anomaly detection, performance-to-cost analytics, or margin reporting.
  • Technical leadership or mentoring responsibility for a data-engineering team.
  • Experience designing FinOps data products on Microsoft Fabric or a comparable eventhouse/warehouse architecture.
  • Experience with repeatable infrastructure or deployment automation, pre-flight validation, idempotent recovery, and verification reporting.
  • Strong communication skills, including the ability to explain data lineage, assumptions, and tradeoffs to technical and non-technical audiences.

About the Company

Docusign

Runs electronic signing and agreement workflows

Docusign runs electronic signing and agreement management software for businesses, letting people approve contracts online and track the steps around each agreement. Its eSignature product routes documents to signers and records who signed, while contract lifecycle tools organize preparation, negotiation, and approvals. The Intelligent Agreement Management platform stores contracts in a searchable repository and uses AI to extract terms and connect agreement data to business workflows. Customers use its web applications or embed signing through APIs, and pay for subscriptions based on users, features, and document allowances. Docusign was founded in 2003 and is headquartered in San Francisco.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2003

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