Database Engineer – Forward Deployed

This is a fully remote position, open to applicants in United States, +6 more countries.

📋 Description

• Lead technical pre-sales initiatives, which include executive discussions, workshops, and proof-of-concept demonstrations.

• Design and implement database migration strategies utilizing re-hosting, re-platforming, and re-factoring approaches.

• Carry out migrations involving AWS EC2, RDS, Aurora PostgreSQL, MySQL, DynamoDB, and Oracle/Exadata to ODB@AWS.

• Recognize repeatable patterns and convert them into scalable, reusable architectural intellectual property.

• Create GenAI-enabled tools for accelerating database migration processes.

• Simplify complex technical propositions into clear, repeatable solutions for sales teams and clients.

• Collect market segment data and develop business cases that link current infrastructure to client outcomes.

• Persuade senior technical and business stakeholders regarding data modernization strategies.

• Develop mechanisms, enablement resources, and documentation to enhance impact.

• Work collaboratively with engineering, product, and data teams in a fully distributed, asynchronous-first setting.

⛳️ Requirements

• Practical experience with database migration and modernization projects, ideally involving AWS data services (RDS, Aurora, DynamoDB, Redshift, DMS, SCT).

• Extensive knowledge in one or more relational database platforms: PostgreSQL, MySQL, Oracle, or SQL Server, including schema design, query optimization, and replication.

• Demonstrated ability to design and implement data pipelines, ETL/ELT workflows, and integration patterns at scale.

• Experience with Oracle or Exadata migrations, including assessment, schema conversion, and cutover planning, is highly regarded.

• Strong understanding of AWS infrastructure fundamentals: EC2, VPC, IAM, S3, and considerations for database workloads in compute/storage.

• Comfort in pre-sales and client-facing roles.

• Capability to lead proof-of-concept engagements from start to finish: scoping, building, validating, and presenting results to senior stakeholders.

• Solid software engineering principles; ability to write clean, maintainable code and grasp data engineering within larger application architectures.

• Experience collaborating in distributed, asynchronous-first teams.

• Familiarity with NoSQL, GenAI-assisted data migration tools, AWS certifications, data lakehouse architectures, Apache Iceberg, Glue, Athena, consulting/professional services/solutions engineering, and open-source contributions are advantageous.

🏝️ Benefits

• Fully remote work.

• A collaborative and innovative atmosphere.

• Work within a fully distributed, asynchronous-first environment.

• Opportunities to engage with Fortune 500 clients.

• Autonomy in defining solutions.

• Support provided to deliver solutions effectively.

• Recognition for successful outcomes.

• Opportunity to work at the intersection of data engineering, cloud infrastructure, and generative AI.

• Collaborate with a globally distributed team.