:

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.
- Solid 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

📌 Ekfrazo Technologies - Senior Metadata & AI Data Services Engineer (India)
🏢 Ekfrazo Technologies Private
📍 India