5 months ago
Responsibilities
- Define and socialize the product and platform architecture strategy, reference architectures, technology standards, ADRs, and technology radars.
- Lead architecture for multi-tenant isolation, data models, schemas, indexing, OLAP, event-driven systems, and high-volume streaming.
- Standardize service meshes, API gateways, policy-as-code, control planes, and multi-cloud deployment patterns across AWS, Azure, and GCP.
- Embed SRE practices including SLOs, error budgets, incident learning, capacity planning, resilience, and chaos testing.
- Lead security and privacy architecture covering threat modeling, data classification, encryption, secrets, key management, SBOM, and SLSA controls.
- Define production patterns for RAG, agents, prompt and model governance, telemetry, evaluations, and fallbacks.
- Improve developer experience through CI/CD, testing strategy, paved roads, golden paths, and reduced engineering toil.
- Coach Staff and Principal engineers and architects, chair architecture reviews, and build a strong technical review culture.
- Translate architecture trade-offs into business-focused decisions for executives, C-suite stakeholders, and strategic customers.
- Convert enterprise customer requirements into pragmatic, phased designs while maintaining SLO, security, and privacy standards.
Requirements
- 20+ years of experience in product or platform architecture for large-scale, cloud-native SaaS systems.
- Recent Principal or Distinguished Architect experience leading end-to-end product decisions and multi-cloud migrations.
- Deep experience with Kubernetes, EKS, AKS, GKE, service meshes, observability, platform control planes, operators, and CRDs.
- Expertise in high-volume streaming, low-latency queries, analytical and machine-learning use cases, and batch plus real-time data patterns.
- Experience with Kafka, Flink, Spark, Druid, ClickHouse, Cassandra, Elasticsearch, OpenSearch, and enterprise integration platforms.
- Experience designing microservices, API gateways, event-driven systems, SOA/EAI integrations, and enterprise-scale platform architectures.
- Production experience with ML pipelines and LLM or agent frameworks, including RAG, tool use, memory, and evaluations.
- Practical experience with threat modeling, data classification, encryption, key management, privacy, and EU GDPR.
- Strong executive communication, customer leadership, architecture evangelism, decision facilitation, and written decision-record practices.
- Experience coordinating delivery across US, EU, and India time zones and building asynchronous documentation and handoff practices.
- Ability to mentor senior technical staff and scale architectural patterns through CI/CD, testing, observability, ADRs, and technology radars.
- Preferred experience owning cross-cloud platforms and data lake stacks, improving infrastructure cost and latency, and contributing to relevant open-source frameworks.
- Programming fluency in Java, Scala, Python, Go, or Rust is preferred.
Benefits
- Reltio offers flexible work arrangements through its distributed-workforce model.
- The company provides equal employment opportunity and reasonable accommodation for applicants with disabilities.
Tech Stack
Apache AirflowApache CassandraApache FlinkApache HadoopApache KafkaApache SparkAWSAzureClickHouseElasticsearchGoGoogle Cloud PlatformGrafanaIstioJavaKubernetesMLflowPrometheusPythonRustScala
About Reltio
Reltio builds a cloud-native master data management platform that unifies, cleanses, and governs customer and other core data for large enterprises. Delivered as a SaaS subscription, the Reltio Data Cloud consolidates data across sources in real time to support analytics, operations, and AI use cases in industries such as life sciences, financial services, and healthcare. Founded in 2011 and headquartered in Redwood Shores, CA, it operates as a subsidiary of SAP.