---
title: 'Distinguished Software Engineer, Data Platform at Saviynt'
canonical: 'https://feeny.ai/job/distinguished-software-engineer-data-platform-saviynt-milpitas-jwy2235xqveh'
type: 'job'
last_seen: '2026-09-07'
---

# Distinguished Software Engineer, Data Platform at Saviynt

- **Company:** Saviynt
- **Location:** Milpitas, CA
- **Compensation:** $300k–$320k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-12
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/saviynt/d598946b-5f3a-4d59-82c3-4719fff0c1f7

## Job description

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.

Our platform serves hundreds of enterprise and government tenants, and much of the data that powers it is still locked inside isolated, per-customer systems that our newer multi-tenant applications cannot reach. As Distinguished Engineer, Data Platform, you will own the end-to-end vision, architecture, and execution for solving this at the highest level: a single, governed data platform that ingests data out of legacy per-tenant systems in real time, transforms and serves it through one shared, multi-tenant layer, and lets every consuming application — operational, analytical, and AI-driven — build on it through standard, self-service access rather than one-off integrations. This is a multi-year, org-wide mandate. You will set the technical direction that other principal and senior engineers build against, defend it in front of executive and security stakeholders, and see it through from first proof point to company-wide standard.

## What You Will Be Doing

Multi-Tenant Data Platform Architecture & Vision

- Own the long-term architectural vision for unifying data spread across hundreds of isolated, per-tenant systems into one governed, multi-tenant data platform.
- Define the target end-state architecture — ingestion, transformation, storage, and access — and the phased roadmap to get there, starting from the first application's needs and scaling to serve the entire portfolio.
- Set the technical standards — schema governance, data contracts, tenant isolation models — that every consuming team builds against.

Real-Time Data Movement; Integration

- Architect a real-time data-replication strategy that moves data out of legacy, single-tenant systems into the platform with minimal latency, without requiring source application teams to re-architect.
- Design the underlying streaming and integration backbone as a shared, multi-tenant, multi- consumer capability — not a one-off pipeline built per application.
- Define the long-term path toward bidirectional integration, so applications can eventually act on platform data through governed, auditable pathways — not just read it.

Common Data Platform: Ingestion, Transformation & Governed Access

- Design a layered data architecture — raw ingestion, domain-specific transformation, and a governed serving layer — that lets each consuming team own its own data model within shared guardrails, instead of building its own pipeline. Own the datastore strategy for the platform's mixed transactional and analytical workloads, running rigorous, benchmark-backed evaluations and defending the resulting recommendation to executive and security stakeholders.
- Build a unified data access layer, supporting both synchronous and asynchronous consumption, that enforces authorization and eliminates direct, ungoverned access to underlying datastores.

Multi-Tenant Consumption at Scale

- Enable every current and future consuming application — operational, analytical, and AI driven — to onboard onto the platform through standard, self-service integration paths.
- Extend the platform's governed data layer to serve as the foundation for machine-learning and generative-AI use cases, not just reporting and analytics.
- Establish per-tenant cost visibility and quota governance so the platform scales economically as consumption grows across teams and tenants.

Observability, Governance & Compliance

- Build observability, lineage, and data-quality guarantees into the platform itself, so pipeline health, schema drift, and data freshness are monitored, first-class properties rather than tribal knowledge.
- Partner with security and compliance stakeholders to design tenant-isolation and audit controls that hold up under the most stringent enterprise and government scrutiny.
- Guide the long-term modernization of adjacent, high-cost data infrastructure as part of the same overall data strategy.

Technical Leadership & Organizational Influence

- Serve as the most senior technical authority on data architecture across the engineering organization, setting direction that spans multiple teams and multi-year roadmaps.
- Translate deep technical tradeoffs into clear, executive-ready recommendations, and build lasting organizational consensus around them.
- Mentor senior and principal engineers across the organization and raise the overall bar for data architecture practice.

## What You Bring

2-3 years of experience as a Distinguished Engineer in distributed systems and data engineering, including a track record of setting data architecture direction at an org-wide, multi-year level.

- Deep, hands-on expertise with distributed database engines that support mixed transactional and analytical workloads at scale — internal architecture, benchmarking methodology, and real production trade-offs, not just theoretical familiarity.
- Proven experience architecting real-time data-replication and streaming pipelines at scale, including schema evolution, delivery-guarantee tradeoffs, and multi-consumer fan-out.
- Strong background in multi-tenant SaaS data architecture: tenant isolation models, per-tenant routing, and governed, self-service data access patterns.
- Experience modernizing large-scale data infrastructure — search, logging, or observability — including cost optimization at scale.
- Track record of running rigorous, benchmark-backed build-vs-buy evaluations and defending the resulting recommendations to executive and security stakeholders.
- Comfortable operating across multiple cloud providers and translating platform decisions into cost and compliance outcomes.

## About Saviynt

## Company Overview
- **One-liner**: Saviynt provides an AI-powered identity security and access management platform that secures and governs every identity—human, non-human, and AI agent—across the entire digital ecosystem.
- **Entity Type**: Private (Series B)
- **Headquarters**: El Segundo, California, United States
- **Founded**: 2010
- **Founders**: Not publicly available

## Core Business
- **Primary Industry**: Identity Security & Access Management (IAM/IGA) / Cybersecurity
- **Target Customers**: Large enterprises, Fortune 500 companies, government institutions (B2B, Enterprise)
- **Mission or Purpose**: To safeguard enterprises through intelligent, cloud-first identity governance and access management solutions, helping organizations safely accelerate AI deployment while protecting digital assets and driving operational efficiency.

## Products & Services
- **Saviynt Identity Cloud (Platform)**: An AI-powered platform that manages and governs human, non-human, and AI agent access to applications, data, and business processes across hybrid, cloud, and on-premises environments. It combines Identity Governance and Administration (IGA), Privileged Access Management (PAM), and Application Access Governance (AAG) into a single platform. **Type**: SaaS Platform.

## Market Standing
- **Valuation**: Not disclosed (privately held)
- **Key Metric**: Total Funding of $1.075 billion across multiple rounds. Annual Revenue is $89.3 million.
- **Notable Investors/Partners**: Kohlberg Kravis Roberts & Co. (lead, Series B), HPS Investment Partners, PNC Bank, Carrick Capital Partners. The company serves Fortune 500 companies and government institutions.
- **Growth Signals**: 1,260 employees (+28.0% YoY), 358,442 LinkedIn followers (+86.7% YoY), active job postings up +51.0% year-over-year, global expansion with offices in the US, UK, Australia, Canada, and India.

## Competitive Advantages
- **Unified Platform**: Combines IGA, PAM, and AAG into a single cloud-native platform, reducing complexity and cost for enterprises compared to multi-vendor solutions.
- **AI-Native Architecture**: Built for the AI age, it specifically addresses identity security for AI agents and non-human identities, a rapidly growing market need.
- **Enterprise Scale & Trust**: Designed for the largest, most complex organizations (Fortune 500, government) with a focus on compliance, security, and operational efficiency.
- **Strong Financial Backing**: $1.075 billion in total funding provides significant resources for R&D and market expansion.

## Strategic Focus
- **AI-Driven Identity Security**: Prioritizing the safe acceleration of AI deployment and usage by securing AI agent identities.
- **Global Expansion**: Deepening presence in key markets like India, the UK, Australia, and across Europe.
- **Platform Growth**: Continuing to unify and enhance the Identity Cloud platform to cover the full spectrum of identity challenges.
- **Talent Acquisition**: Aggressively hiring (+51% job postings YoY) to scale engineering, sales, and customer success teams.

## Why Work Here
- **High-Growth Environment**: Headcount grew 28% in the last year, offering strong career advancement potential in a fast-scaling company.
- **Mission-Driven Work**: Tackling critical cybersecurity challenges for the world’s largest organizations.
- **Global & Remote-First Culture**: Remote-friendly roles and hybrid options available, with offices in major cities globally (El Segundo, London, Sydney, Bengaluru). [saviynt.com](https://saviynt.com/careers)
- **Strong Compensation & Benefits**: Competitive base pay with bonuses, medical/dental/vision, retirement programs, and flexible time off. [saviynt.com](https://saviynt.com/careers)
- **Positive Employee Sentiment**: Average employer rating of **4.0/5.0** (436 reviews), with strong compensation (4.1) and career opportunity (4.0) scores. [linkedin.com](https://linkedin.com/company/saviynt)
- **Diverse, Global Team**: Workforce spans 23 countries, offering a rich, multicultural work experience.

## Sources
1. [LinkedIn Company Profile](https://linkedin.com/company/saviynt)
2. [Saviynt Careers Page](https://saviynt.com/careers)
3. [Saviynt About Us](https://saviynt.com/company/about-saviynt)
4. [Lever Job Postings](https://jobs.lever.co/saviynt)
5. [CB Insights Profile](https://www.cbinsights.com/company/saviynt)

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