The team

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. We are seeking builders who prefer creating new frameworks over following legacy instructions.

This role will be based remotely in Germany.

Position expectations

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

Candidate profile

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 credibilit

Senior Consulting Engineer