Senior Consulting Engineer

MongoDB's Application Modernization Platform (AMP) organization as a Senior Consulting Engineer. In this role, you will lead the technical delivery of data migration engagements, design and operate change data capture (CDC) pipelines, and work closely with enterprise customers.

The ideal candidate will have 5+ years of experience in software engineering, data engineering, or consulting delivery roles centered on data platforms and data movement at production scale.

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

Responsibilities

• You will also partner with sales and account teams to scope migration opportunities and build the practice by creating reusable assets and improving migration tooling.
• Plan and lead the technical delivery of data migration engagements end to end, including source estate assessment, migration strategy, and production cutover.
• Design and operate change data capture (CDC) pipelines for zero and near-zero-downtime migrations, utilizing tools like Kafka and Debezium.
• Partner with Solutions Architects and account teams to scope and size migration opportunities, shape statements of work, and provide sales confidence.

Requirements

• 5+ years in software engineering, data engineering, or consulting delivery roles centred on data platforms and data movement at production scale
• Solid grounding in relational databases (Oracle, SQL Server, PostgreSQL or MySQL) and in getting data out of them without breaking the business

Working fluency with AI in real engineering workflows

• 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
• Excellent analytical, diagnostic and problem-solving skills, and the composure to apply them during a production cutover
• 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
• 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
• 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
• 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
• 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
• Experience building with LLMs beyond personal productivity: you use LLMs and coding agents as part of how you build and deliver today
• Migration or replication tooling experience: Spark or Flink-based pipelines, dual-write patterns, cloud DMS-class services, data-validation frameworks
• Experience on the vendor or consulting side of competitive platform displacements
• Fluency in a second European language relevant to this market

Preferred

• One or more cloud platforms (AWS, Azure, GCP) at architecture depth
• Practical experience with MongoDB

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