Principal Database Architect – Multi-Region Data Platform

🕒 April 30

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Solvd, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

☁️ SaaS

🤝 B2B

🏢 Enterprise

SaaS • B2B • Enterprise

Solvd, Inc. is a global software engineering and consulting company that delivers comprehensive end-to-end solutions. Founded in 2011, Solvd offers core engineering services, including software development for web and mobile platforms, digital experience and design, data and AI/ML solutions, and cloud platform modernization. The company is an AWS partner and is known for optimizing resources, solving complex problems, and enhancing user satisfaction. Solvd emphasizes innovation and quality assurance, employing over 800 international professionals across 8 offices worldwide. The company prides itself on transforming businesses by providing feature-rich digital products, manual testing, automation, and employing cutting-edge technology solutions. Their proprietary tools like Zebrunner and Carina aid in improving development and QA processes. Solvd operates with a focus on collaboration, top talent cultivation, and customized technical solutions tailored to individual client needs, serving clients across 15 countries.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.