Principal Database Architect – Multi-Region Data Platform

🕒 Abril 30

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Solvd, Inc.

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2010

☁️ SaaS

🤝 B2B

🏢 Corporativo

SaaS • B2B • Enterprise

Solvd, Inc. é uma empresa global de engenharia de software e consultoria que entrega soluções completas end-to-end. Fundada em 2011, a Solvd oferece serviços centrais de engenharia, incluindo desenvolvimento de software para plataformas web e mobile, experiência digital e design, soluções de Data e AI/ML e modernização de plataformas em cloud. A empresa é parceira da AWS e é reconhecida por otimizar recursos, resolver problemas complexos e elevar a satisfação dos usuários. A Solvd enfatiza inovação e Quality Assurance (QA), empregando mais de 800 profissionais internacionais em 8 escritórios pelo mundo. A empresa se orgulha de transformar negócios ao fornecer produtos digitais ricos em funcionalidades, testes manuais, automação e soluções tecnológicas de ponta. Suas ferramentas proprietárias, como Zebrunner e Carina, ajudam a aprimorar os processos de desenvolvimento e QA. A Solvd opera com foco em colaboração, atração e desenvolvimento de talentos de alto nível e soluções técnicas personalizadas às necessidades de cada cliente, atendendo clientes em 15 países.

Descrição

• Own the multi-region data architecture across six AWS-native engines: Aurora MySQL, Cassandra, ElastiCache (Redis / Valkey), DynamoDB, DocumentDB, and Neptune. For each, define the cross-region replication pattern (Aurora Global Database, DynamoDB Global Tables, DocumentDB Global Clusters, Cassandra multi-DC, MemoryDB or Valkey global datastore, Neptune Global Database) and the operational model that supports it. • Define and own the per-tier RTO and RPO commitments (Tier 0 / Tier 1 / Tier 2) and the cutover and failback runbooks and perform validation using Fault Injection Service / Game Days. • Sequence the data-layer cutover across all three program phases. Identify strong-consistency vs eventual-consistency decisions per workload, and where active-active is feasible vs where region-sharded ledgers or single-writer with replicated read-models is the right pattern. • Lead a team of Database Engineers across the engines. Set the technical bar, review designs, and unblock implementation. Partner with the client's DB and SRE leadership on architecture decisions and Operational Readiness Reviews. • Translate data-layer constraints into the application decomposition strategy. Where the monolith is being broken up into microservices, advise on data ownership boundaries (DDD-aligned), strangler-fig extraction patterns, CDC pipelines (DMS, DDB Streams, Kafka Connect), and the event-based contracts that decouple services from the monolith. • Produce the audit-grade artifacts the client and their regulators expect: replication runbooks, DR test evidence, RTO and RPO measurement methodology, and Well-Architected Reliability Pillar alignment.

🎯 Requisitos

• 12+ years in database engineering and architecture, with at least 5 years in a Principal or Staff-level architect role on production systems at fintech scale. • Demonstrated experience designing and shipping multi-region active-passive AND active-active data architectures on AWS, including at least one full transition from single-region to multi-region in production, ideally for financial services or similarly regulated/high-availability environments. • Deep, production experience with Aurora MySQL (including Global Database) and at least three of: Cassandra, DynamoDB (Global Tables), ElastiCache or MemoryDB (Redis / Valkey), DocumentDB, Neptune. Working knowledge of the remaining engines. • Real experience with monolith decomposition from the data side: extracting bounded contexts out of a shared relational database, owning CDC and dual-write patterns, and managing the transitional period where both monolith and microservices read and write the same data. • Fintech or payments domain experience: idempotent write patterns, ledger correctness, transaction reconciliation, and the regulatory posture that comes with PCI-DSS, SOX, or equivalent. • Hands-on with IaC (Terraform or CDK) and observability tooling (Datadog, New Relic, CloudWatch). • Strong written communication.

🏖️ Benefícios

• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. • Be part of a global team with equal opportunities for collaboration across continents and cultures. • Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.