3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Build batch and streaming pipelines for Azure and GCP billing data that can extend to additional cloud providers.
- Normalize billing and usage data into a consistent FOCUS-aligned model and join it with resource, tagging, ownership, product, service, and environment metadata.
- Implement reconciliation checks, data contracts, schemas, lineage, freshness and completeness checks, validation, and failure-handling patterns.
- Create reusable transformations for executive dashboards, product-level cost views, burn-rate reporting, cost allocation, and anomaly detection.
- Monitor pipeline freshness, latency, volume, schema drift, failed records, and overall operational health.
- Partner with platform, FinOps, Finance, and service-owning teams to improve data quality and attribution coverage.
- Document pipeline behavior, ownership, runbooks, recovery procedures, and data limitations.
- Improve automation, test coverage, deployment safety, and data-platform cost efficiency.
- Build or integrate event-driven ingestion so new Cost Management exports trigger processing automatically.
- Support Microsoft Fabric, Data Lake, Data Factory, and KQL-based consumption patterns.
- Design for private endpoints, private DNS, managed identities, Entra ID/RBAC, and disabled public access.
- Participate in on-call rotations and improve system reliability and incident response.
Requirements
- 5+ years of professional experience designing, implementing, and operating production data pipelines.
- Strong SQL and Python or an equivalent data-engineering language.
- Experience with cloud billing, usage, infrastructure, telemetry, or other operational datasets.
- Experience with dimensional modeling, data warehouses or lakes, ETL/ELT, and data-quality testing.
- Practical experience with pipeline orchestration, monitoring, alerting, and incident response.
- Preferred experience with multi-cloud billing data or FinOps data engineering.
- Preferred experience with FOCUS, cloud-cost normalization, resource tagging, or showback/chargeback systems.
- Preferred experience with Azure, GCP, BigQuery, Microsoft Fabric, Azure Data Factory, Data Lake Storage, KQL, or comparable warehouse technologies.
- Preferred experience with Event Grid or equivalent event-driven ingestion, managed identities, Entra ID/RBAC, private endpoints, private DNS, and network-isolated data services.
- Preferred experience with data lineage, schema evolution, reconciliation, anomaly detection, deployment verification, or finance-system integration.
- Ability to work across engineering and business stakeholders to clarify data definitions and ownership.
Benefits
- Hybrid work arrangement requiring a minimum of two days per week in the office, with frequency potentially varying by team but with a weekly in-office expectation.
- Reasonable accommodations are available for qualified individuals with disabilities and for religious accommodations during the application process.
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.