Distinguished Software Engineer, Saviynt
Data Platform
$300-320k
Office located in Milpitas, CA
AI-based identity security & access management platform
Posted today
AI-based identity security & access management platform
1001+ employees
Posted today
$300-320k
Office located in Milpitas, CA
1001+ employees
Company mission
To safeguard enterprises through intelligent, cloud-first identity governance & access management solutions.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Our take
Saviynt’s Identity Governance and Administration platform helps secure access to corporate systems in the cloud such as Workday, Office 365, AWS, Salesforce, SAP and Hadoop. It was created to offer an innovative, modern solution as its founder believed that existing identity services were not optimized.
By spending its early years in stealth mode, developing its product technology and switching to a cloud based model, the company was well prepared for a quick up-scale. This has been achieved partly because of the fact that it favours targeting large companies, boasting clients like Marriott, BP, KuppingerCole and Toyota Connected.
Saviynt faces a major rival in the form of SailPoint, which was an earlier entrant in the space, and went public sooner. However, Saviyntnt is growing rapidly and has converted some notable customers from SailPoint in the process. The company has continually invested in its platform to maintain a competitive edge, earning industry recognition along the way, and has recently concentrated on securing new customers and growing its partner ecosystem.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Dec 2025
$700m
SERIES B
Sep 2021
$130m
EARLY VC
Total funding: $870m
Company benefits
- Competitive Pay: Money isn’t everything, but it sure helps. Base pay + bonuses = a rewarding experience.
- Great Benefits: Medical, dental, vision, & retirement programs. We’ve got you covered from head to toe.
- Flexible Time Off: Our holidays and flexible vacation policies ensure your next vacation is never out of reach.
- Employee Recognition: Your hard work never goes unnoticed. We celebrate and recognize when our people go above and beyond.
Company HQ
El Segundo, CA
Leadership
Sachin Nayyar
(CEO)Sachin worked as CEO of Vaau for 3 years before joining Sun Microsystems as a Chief Identity Strategist. They were also CEO of Securonix for 13 years.
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