Sr. Security Data Engineer

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity.

Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

Design, build and maintain the enterprise security data platform - including data ingestion, underlying data pipelines and architectures, visualization/monitoring to embedding into processes with stakeholders to ensure timely intervention. You’ll define data contracts and quality SLAs, automate lineage/privacy/access controls, support surge analytics, and continually improve reliability, performance, and cost.

This position is an individual contributor reporting to the Director, Platform Security.

• Architect unified data models (assets, identities, findings, events); maintain metric catalog & semantic layer
• Build/operate ETL + streaming pipelines; enforce data-quality monitoring, SLAs and lineage
• Define data contracts, versioning, and schema evolution policies; automate tests
• Implement privacy/access/retention controls; produce audit-ready evidence
• Publish curated marts for posture, exposure, incident, and SDLC analytics
• Instrument pipeline observability (freshness, failure budgets); handle on-call/runbooks
• Deliver self-serve dashboards; resolve metric disputes with source-of-truth logic
• Optimize cost/performance; recommend build-vs-buy; plan upgrades/re-platforming
• Partner with App Sec, Platform, Exposure, SOC/Risk, and PSIRT on analytics use cases
• Support surge/crisis analytics (major CVEs/incidents); deliver T0→closure reporting
• Tools & Ops: operate warehouses/queues to SLOs; backups/DR; access reviews; capacity & cost stewardship; vendor escalations with audit-ready logs.
• Delivers end-to-end data products with documented SLAs; improves data quality and freshness
• Leads a domain (e.g., posture mart); mentors juniors; develops playbooks and data contracts

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position s job designation depending on business needs and as permitted by local law.

Basic

• Bachelor’s or Master’s degree (or equivalent experience) in Computer Science, Data Analytics, or a related field
• 4+ years of industry experience, with a strong focus on data engineering and large-scale data systems
• Proficient in SQL and Python; proven ability to build and maintain production-grade ETL and streaming data pipelines, as well as APIs
• Experience with dimensional and data vault modeling plus streaming technology
• Strong background in data governance, including lineage and metadata management and implementation of privacy, access, and retention controls
• Demonstrated experience with dashboarding and semantic layer tools
• Skilled in defining and maintaining SLOs, monitoring and alerting, and conducting root cause analyses for data systems
• Excellent communication skills, able to collaborate effectively with engineering teams and executives, and resolve metric disputes using evidence-based approaches

Preferred

• Relevant experience in cybersecurity
• Familiarity with security metrics and tools across the SDLC.
• Familiarity with security frameworks and standards (e.g., NIST, MITRE ATT&CK).
• Hands-on work with cloud security tools and best practices.
• Knowledge of regulatory compliance for security data (e.g.,…