Senior Consulting Engineer, MongoDB

• We are seeking builders who prefer creating new frameworks over following legacy instructions
• Excellent analytical, diagnostic and problem-solving skills, and the composure to apply them during a production cutover
• Degree in Computer Science or a similar technical field, and a technology-first mindset that lets you build credibility with some of the smartest technologists in the world
• 5+ years in software engineering, data engineering, or consulting delivery roles centred on data platforms and data movement at production scale
• Hands-on experience with at least one of: Apache Cassandra, Azure Cosmos DB, Amazon DocumentDB, or another distributed NoSQL platform - deep enough to reason about data models, consistency, partitioning and failure modes, not just operate one
• Real-world CDC and streaming-pipeline experience: Kafka or Confluent Platform, connectors, Debezium or equivalent, schema evolution, exactly-once versus at-least-once trade-offs, backfill-plus-tail patterns
• Solid grounding in relational databases (Oracle, SQL Server, PostgreSQL or MySQL) and in getting data out of them without breaking the business
• Competence in at least one programming language (Java, Python, Node.js, C#, Go or similar) - enough to build pipeline glue, validation harnesses and tooling, not only to configure products
• Working fluency with AI in real engineering workflows
• Excellent customer interaction and presentation skills: you can explain a partitioning strategy to a DBA at 10:00 and a migration risk profile to a Senior Leadership at 11:00, and both leave more confident than they arrived
• An entrepreneurial bias. You see the gaps and what is missing. You are comfortable operating where the process does not exist yet, and you would rather ship a rough first version and iterate than wait for the shape to be agreed
• MongoDB expertise is not a requirement. We will teach you MongoDB - that is the part we are world-class at. What we cannot teach is the scar tissue from the platforms and pipelines above. Bring that

Desirable

• MongoDB's Application Modernization Platform (AMP) organization is the front door of our modernization business
• In our Data Migration practice we move production data - safely, repeatably, at enterprise scale - from relational estates (Oracle, SQL Server, PostgreSQL, MySQL) and from NoSQL platforms (Apache Cassandra, Azure Cosmos DB, Amazon DocumentDB) onto MongoDB
• We do this both as standalone migration programmes and as the data workstream inside larger application-modernization engagements, using MongoDB's own tooling - Relational Migrator, Cluster-to-Cluster Sync, Atlas Stream Processing - alongside the open-source and cloud-native pipeline ecosystem
• Our mission is to help our customers be successful by leading end-to-end their journey to MongoDB
• In an era where AI agents handle routine migration mechanics - such as workload assessments, schema and query translations, and large-scale validation - our consultants focus on the high-judgment decisions that directly mitigate risk
• Joining us now means helping draft the playbooks while they are actively being defined
• Delivery:
• Plan and lead the technical delivery of data migration engagements end to end: source estate assessment, migration strategy and wave planning, schema and data-model transformation, pipeline build, validation, and production cutover with minimal downtime
• Design and operate change data capture (CDC) pipelines for zero and near-zero-downtime migrations - using Kafka and the connector ecosystem, Debezium and comparable log-based CDC tooling, and cloud-native replication services
• Bring genuine platform depth on the estates our customers are leaving: Cassandra data modeling and anti-patterns, Cosmos DB (Core and Mongo API) partitioning and RU economics, DocumentDB's compatibility surface - and use it to de-risk what the customer cannot see coming
• Work shoulder to shoulder with enterprise customers - architects, DBAs, platform teams and executives - from whiteboard to war room
• Own the full consulting lifecycle for your engagements, from planning and agenda-setting through post-engagement follow-up, surfacing risks and further opportunities back to Sales and Professional Services
• Pre-sales and growth:
• Partner with Solutions Architects, Engagement Managers and account teams to scope and size migration opportunities, shape statements of work and estimation models, and give sales well-founded confidence in what is achievable and what it will take
• Cultivate your reputation as a migrations SME and trusted advisor, internally and in the market, and positively influence your own utilization through proactive customer engagement
• Identify services opportunities in our customers, new workloads or estates to be migrated or product improvements the customer could benefit from
• Building the practice:
• Build and harden the AI tooling that makes migrations faster and safer: agents for automated estate assessment, schema and data-model conversion, query and code translation, and large-scale data validation - and fold what works into the standard delivery methodology
• Turn field experience into reusable assets: migration playbooks, reference architectures, estimation models, tooling improvements and enablement for the wider team
• Partner with Product and Engineering to bring field reality into MongoDB's product and migration-tooling roadmap