Job Description :

Implement the metadata, catalog, semantic, discovery, and AI enablement capabilities that allow users and agents to find, understand, and consume enterprise data.

Tech Stack :

- OpenMetadata, DataHub, Atlan

- Knowledge graph and semantic technologies

- Neo4j and graph databases

- Vector databases, RAG architectures, MCP frameworks

- Metadata management and data catalog platforms

Responsible For :

- Building metadata and catalog services

- Implementing knowledge graph and semantic capabilities

- Delivering data discovery and search experiences

- Enabling AI-ready data foundations

- Building context services for AI agents and applications

- Providing subject matter expertise on metadata and AI data services

Candidate Profile :

We are seeking senior engineers who have:

- Delivered enterprise-scale platform capabilities rather than traditional ETL solutions.

- Led implementation of complex data platforms in production environments.

- Worked with cloud-native technologies on Microsoft, Google Cloud, AWS, or comparable ecosystems.

- Built reusable services, APIs, integrations, and platform components.

- Supported operational applications and AI workloads, not just reporting and analytics.

- Operated within highly governed enterprise environments.

- Experience implementing data virtualization, federation, metadata platforms, governance capabilities, media data integration, or similar large-scale platform services.

- Strong opinions informed by hands-on delivery experience and a willingness to contribute to technical direction.

Profiles to Avoid :

- Traditional ETL developers

- Reporting and BI-focused engineers

- Dashboard-centric analytics engineers

- Data warehouse administrators

- Migration-only specialists