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Reltio

B2B data platform with velocity packs

Principal Architect

Platform EngineeringConfirmed live in the last 24 hours
Full-timeUnited StatesNo salary listed

About the Job

Requirements

  • 20+ years of product or platform architecture experience for large-scale, cloud-native SaaS, including recent Principal or Distinguished Architect scope leading end-to-end product decisions and multi-cloud migrations.
  • Deep expertise with EKS, AKS, GKE, service meshes such as Istio or Linkerd, observability tools such as Prometheus or Grafana, platform control planes, and operators or CRDs; ability to define golden paths or paved roads for teams.
  • Data platform and streaming expertise with Kafka, Flink, Spark, columnar or OLAP systems such as Druid and ClickHouse, NoSQL systems such as Cassandra, and search systems such as Elasticsearch or OpenSearch; understanding of real-time and batch patterns.
  • Experience with microservices and enterprise-scale integration, including API gateways, event-driven design, SOA/EAI, and tools such as Apache Camel, Mule, WSO2, or JBoss Fuse.
  • Production experience with AI/ML and agentic AI, including ML pipelines using MLflow, Kubeflow, or Airflow and LLM or agent frameworks such as OpenAI APIs, LLaMA, LangChain, or LangGraph; familiarity with tool use, memory, and evaluations.
  • Experience applying security, privacy, and compliance by design, including threat modeling, data classification, encryption and key management, and EU GDPR awareness through product work.
  • Ability to communicate architectural trade-offs and partner with C-suite stakeholders globally; customer-facing architecture leadership.
  • Experience facilitating C-suite decisions through architecture reviews or steering committees, presenting options and risk/ROI framing, written decision records, and stakeholder alignment.
  • Customer-back product thinking, including regular enterprise engagement, translating requirements into phased MVP-to-scale designs, and defending SLO, security, and privacy requirements.
  • Experience delivering across US, EU, and India time zones and establishing asynchronous rituals, documentation standards, and handoff mechanisms.
  • Ability to coach Staff and Principal engineers, codify CI/CD, testing, and observability paved roads, and scale architectural patterns through ADRs and technology radars.

Responsibilities

  • Author and socialize product and platform architecture strategy; maintain architecture decision records and technology radars.
  • Lead architecture designs for multi-tenant isolation, data models, schemas, indexing and OLAP, and event-driven systems.
  • Standardize service meshes, API gateways, policy-as-code, and multi-cloud deployment patterns.
  • Embed SRE practices, including SLOs, error budgets, incident learning, capacity planning, and chaos testing.
  • Lead threat modeling, data classification, encryption, secrets and key management, and SBOM/SLSA controls.
  • Define architecture patterns for RAG and agents, prompt and model governance, telemetry, evaluations, and fallbacks.
  • Coach Staff and Principal engineers and architects; chair architecture reviews and build a healthy review culture.
  • Communicate architectural options and trade-offs to executives and align decisions with business value and customer impact.
  • Join key enterprise customer conversations, translate requirements into pragmatic designs, and plan phased delivery.
  • Define end-to-end architecture vision for a multi-tenant SaaS data platform spanning ingestion, processing, storage, query, API, SDK, and UX.
  • Drive container orchestration, service mesh, control planes, observability, and resilience across AWS, Azure, and GCP.
  • Lead designs for high-volume streaming, low-latency query, and analytical and machine-learning use cases across batch and real-time workloads.
  • Partner with product and security teams to embed responsible LLM and agentic patterns, including guardrails, retrieval, and evaluations, into customer-facing and internal developer workflows.
  • Champion reliability, security, and compliance practices, including SRE, SOC 2, ISO, GDPR-by-design, error budgets, threat modeling, and secure SDLC.
  • Improve CI/CD, test strategy, paved roads, and golden paths to reduce cognitive load and toil across teams.
  • Translate architecture trade-offs for executives and key customers; guide buy, build, or integrate decisions.

Desired Qualifications

  • Ownership of cross-cloud platforms, such as control planes, observability, and incident management, and data lake stacks shipped to enterprise customers.
  • Track record of reducing infrastructure cost per tenant and improving p95/p99 latency and MTTR through capacity planning, workload placement, and autoscaling.
  • Programming fluency in Java, Scala, Python, Go, or Rust for code review and reference implementations.
  • Contributions to relevant open-source frameworks, such as Hadoop tuning, NoSQL ORM, Camel, or Keycloak.

About the Company

Reltio

B2B data platform with velocity packs

Reltio provides a data management platform for businesses to organize and harmonize large data sets. It uses velocity packs—prebuilt components and industry-specific data models—that can be customized to fit a company’s needs, enabling data cleansing and interoperability to deliver business value within 90 days. The product targets B2B customers across technology, finance, healthcare, and retail, and is complemented by a network of service partners (systems integrators, technology vendors, data providers, consultants) that help implement the platform. Unlike some competitors that require building data models from scratch, Reltio emphasizes rapid deployment with ready-to-use packs and an ecosystem of partners to accelerate implementation. The company's goal is to help organizations manage data efficiently and gain a competitive advantage by turning complex data into actionable insights quickly.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$237M
Headquarters
Palo Alto, CA
Founded
2011

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