# Senior Consulting Engineer

**Company:** [MongoDB](https://hotfix.jobs/companies/mongodb)
**Location:** Remote
**Role:** Solutions Architecture
**Experience:** 5+ years
**Skills:** Apache Cassandra, Azure Cosmos Db, Amazon Documentdb, Kafka, Debezium, Change Data Capture, Schema Evolution, Oracle, SQL Server, Postgres, MySQL, Python, Java, Spark, Apache Flink
**Posted:** 2026-09-04

> Leads enterprise data migration engagements from assessment through production cutover, designing CDC and streaming pipelines across relational and distributed NoSQL platforms. Requires 5+ years of relevant experience, strong programming and customer-facing skills, and the ability to build AI-assisted migration tooling.

## Job Description

## Responsibilities
- Lead end-to-end technical delivery of enterprise data migration engagements, including source assessment, migration strategy, wave planning, schema and data-model transformation, pipeline development, validation, and production cutover.
- Design and operate change data capture (CDC) pipelines for zero- and near-zero-downtime migrations using Kafka, connectors, Debezium, and comparable cloud-native replication services.
- Apply deep knowledge of distributed NoSQL platforms, including Cassandra, Azure Cosmos DB, and Amazon DocumentDB, to identify data-model, partitioning, compatibility, consistency, and failure-mode risks.
- Collaborate directly with enterprise architects, DBAs, platform teams, and executives from initial design through production war rooms.
- Own engagement planning, execution, post-engagement follow-up, risk identification, and opportunity discovery.
- Partner with Solutions Architects, Engagement Managers, and account teams to scope migration opportunities, develop statements of work, and create estimation models.
- Build AI-assisted migration tooling for estate assessment, schema and data-model conversion, query and code translation, and large-scale validation.
- Convert field experience into migration playbooks, reference architectures, estimation models, tooling improvements, and team enablement.
- Collaborate with Product and Engineering on the migration-tooling roadmap.

## Requirements
- Bachelor’s degree in Computer Science or a similar technical field.
- 5+ years of experience in software engineering, data engineering, or consulting delivery focused on data platforms and production-scale data movement.
- Hands-on experience with Apache Cassandra, Azure Cosmos DB, Amazon DocumentDB, or another distributed NoSQL platform.
- Real-world CDC and streaming-pipeline experience, including connectors, Debezium or equivalent tooling, schema evolution, delivery semantics, and backfill-plus-tail patterns.
- Experience with relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL.
- Proficiency in at least one programming language, such as Java, Python, Node.js, C#, or Go.
- Working fluency with AI in engineering workflows.
- Strong analytical, diagnostic, problem-solving, customer interaction, and presentation skills.
- Ability to work effectively in entrepreneurial, evolving environments.
- Willingness to travel up to approximately 30%, primarily within EMEA.

## Nice to Have
- Experience building with LLMs and coding agents beyond personal productivity use.
- Experience with Spark or Flink pipelines, dual-write patterns, cloud database migration services, or data-validation frameworks.
- Architecture-level experience with AWS, Azure, or Google Cloud.
- Experience with vendor-side or consulting-side competitive platform displacements.
- Practical MongoDB experience.
- Fluency in a second European language relevant to the market.

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