<p>Staff Database Engineer</p><p>This Staff Database Engineer will play a key role in modernizing a large, multi-tenant database environment, with particular focus on <strong>Couchbase, large-scale migrations, AWS database technologies, data pipelines, and production reliability</strong>. This is a hands-on Staff-level role requiring both deep technical expertise and the ability to guide architecture and migration strategy.</p><p>What You&#39;ll Do</p><ul><li>Lead <strong>large-scale database migrations involving TB+ datasets</strong>, including planning, data validation, replication, cutover, rollback, and risk mitigation.</li><li>Evaluate existing <strong>Couchbase workloads</strong> and determine whether they should remain on Couchbase or migrate to <strong>DynamoDB, DocumentDB, or another database platform</strong> based on access patterns, scale, performance, and cost.</li><li>Configure, monitor, and troubleshoot <strong>Couchbase XDCR or comparable replication technologies</strong>, including replication failures, lag, and performance issues.</li><li>Design database strategies for complex <strong>multi-tenant environments</strong> with varying customer sizes, traffic patterns, and performance requirements.</li><li>Architect and support cloud database solutions primarily within <strong>AWS</strong>, utilizing technologies such as DynamoDB, DocumentDB, RDS, DMS, Glue, Lambda, and CloudWatch.</li><li>Design, build, and support <strong>ETL/ELT pipelines feeding Snowflake or similar modern data platforms</strong>, including data validation, backfills, recovery, and troubleshooting.</li><li>Use <strong>Python and SQL</strong> for automation, data processing, database operations, and workflow orchestration.</li><li>Take ownership of <strong>production database incidents</strong>, from troubleshooting and recovery through root-cause analysis and preventative improvements.</li><li>Establish proactive monitoring, alerting, and performance strategies using <strong>Datadog, CloudWatch, Azure Monitor, or similar observability tools</strong>.</li><li>Serve as a technical leader, partnering with engineering teams on database architecture, migrations, performance, reliability, and platform strategy.</li></ul><p><br></p>

<p>What We&#39;re Looking For</p><ul><li>7+ years of database, data engineering, or database architecture experience in large production environments.</li><li><strong>Hands-on Couchbase experience</strong>, ideally including large-scale migrations and XDCR.</li><li>Strong understanding of <strong>NoSQL/document databases</strong>, particularly Couchbase, DynamoDB, and/or DocumentDB.</li><li>Experience working with <strong>large, multi-tenant and distributed database environments</strong>.</li><li>Proven experience performing <strong>complex database migrations</strong>, including replication, validation, cutover, and production stabilization.</li><li>Strong <strong>AWS database and data-platform experience</strong>.</li><li>Experience building or supporting <strong>Snowflake ETL/ELT pipelines</strong>.</li><li>Strong <strong>Python and SQL</strong> skills.</li><li>Hands-on production troubleshooting, performance tuning, monitoring, and incident response experience.</li><li>Ability to operate at a <strong>Staff level</strong>, combining hands-on engineering with architecture, technical decision-making, and mentorship.</li><li><strong>Biggest priority:</strong> We are looking for someone who has <strong>actually worked hands-on with Couchbase/NoSQL at scale</strong>, understands replication and migration complexity, and can help evaluate and safely transition workloads within a large production environment.</li></ul>

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