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Senior Data Migration Consultant (Germany)

MongoDB· Application Modernization Platform (AMP)
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Hybrid (Germany)full-timePosted 1mo ago

About the role

Consultant role focused on planning, delivering and optimizing data migration engagements for enterprise-scale moves to MongoDB, specializing in zero/near-zero downtime migrations, CDC pipelines, and leveraging MongoDB tooling as part of end-to-end modernization programs.

Responsibilities

  • 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
  • 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
  • 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

Qualifications

  • Professional fluency in German is required
  • 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
  • An entrepreneurial bias

Skills

Required:German language proficiencyAnalytical and problem-solving skillsSystem design and data modelingCDC and streaming pipelinesRelational database fundamentalsProgramming language
Nice to have:AI in engineering workflows

Benefits

  • Comprehensive culture and well-being initiatives including fertility assistance and parental leave policy
  • Supportive and enriching culture with opportunities for professional growth
Last updated Oct 22, 2026. Interested? Apply on the company site.
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