Senior Consulting Engineer

MongoDB is seeking a seasoned Senior Consulting Engineer to join their global team in a remote capacity. This role is highly strategic, focusing on the complex technical architecture behind data migrations. As a subject matter expert, you will guide enterprise-level clients through the transition of their production environments from traditional relational or legacy NoSQL databases into the MongoDB ecosystem.

About the role

In this position, you are the technical anchor for high-stakes migration projects. Success in this role requires more than just coding ability; it demands the capacity to consult, plan, and execute. You will act as a bridge between the client’s existing infrastructure and their future on the MongoDB platform, ensuring that business logic remains intact while data integrity is maintained throughout the move.

The scope of this position extends beyond manual migration; you will be instrumental in building and scaling the AI-driven tooling that automates and optimizes these transitions. By leveraging modern streaming architectures and advanced data modeling, you will play a key role in defining how global organizations modernize their data stacks.

Your daily responsibilities will revolve around the end-to-end management of migration engagements. You will operate as a trusted advisor, identifying technical hurdles before they escalate and providing clear, actionable insights to stakeholders. Key tasks include:

• Leading the end-to-end technical delivery of migration projects, from the initial architectural assessment to the final handover.
• Designing, implementing, and maintaining robust Change Data Capture (CDC) pipelines to facilitate seamless data synchronization.
• Developing and iterating on AI-powered internal tools designed to accelerate the migration lifecycle.
• Collaborating with cross-functional technical teams to troubleshoot and resolve bottlenecks in real-time.
• Presenting complex technical strategies to both engineering teams and non-technical business decision-makers.

What they're looking for

The ideal candidate brings a depth of expertise in data platform architecture and a proactive problem-solving mindset. Because this role involves significant client interaction in European markets, professional fluency in German is a mandatory requirement.

Beyond the language requirement, candidates should possess:

• A minimum of five years of professional experience in data or software engineering.
• Deep functional knowledge of NoSQL database environments, specifically including Azure Cosmos DB and Apache Cassandra.
• Strong practical experience with streaming technologies and data pipelines, particularly Apache Kafka.
• A solid understanding of data modeling principles and the ability to apply them to large-scale, production-ready databases.
• A formal qualification, such as a Computer Science degree or a related technical diploma.
• Exceptional communication skills, with the ability to explain intricate technical nuances to varied audiences.

For a South African professional, a role of this calibre with a global data-leader represents a significant career milestone. Senior engineering and consulting positions at multinational tech firms typically offer competitive compensation packages in foreign currency, often supplemented by home-office allowances. Given the nature of remote work for international companies, candidates should be prepared for late-afternoon or evening meetings to accommodate European time zones. This role is a prime stepping stone for those aiming to transition into senior solution architecture or technical leadership roles within the global cloud and data sectors.

• Professional fluency in German.
• 5+ years of experience in software or data engineering roles.
• Background in data platforms and movement, particularly NoSQL databases like Apache Cassandra and Azure Cosmos DB.
• Hands-on experience with streaming technologies like Kafka and practical experience in data modeling.
• Ability to communicate technical concepts clearly to varied audiences.
• Degree in Computer Science or a similar field.