Palantir Foundry consultants and ontology engineers

Digiventi provides Palantir Foundry consultants and data architects who join your team to address fragmented data and unreliable ingestion. They assess source dependencies and define dataset boundaries before implementing pipelines.

• Data architecture: Define ingestion patterns and dataset ownership around reporting requirements, with explicit handling of sensitive data.
• Pipeline engineering: Build batch or incremental processing in Pipeline Builder and Code Repositories, using SQL or PySpark where appropriate. Add quality checks and investigate failed builds before downstream datasets are affected.

Ontology engineers translate business definitions into Foundry object types and relationships. Bring them in when datasets lack a shared business model or existing definitions no longer match operational processes.

The work covers backing-data mappings and stable object identifiers, with validation against representative business cases. Engineers configure action types and submission criteria for controlled updates. They also assess how ontology changes affect dependent applications, so revised models preserve expected behaviour and respect access boundaries.

Foundry application developers build interfaces that let business users review operational data and take permitted actions. They connect application behaviour to ontology definitions rather than duplicating business rules across screens.

• Workshop development: Create object views and investigation screens with filters that match users' daily responsibilities.
• Workflow implementation: Configure approval flows and exception handling through ontology actions. Validate input rules and permission-dependent behaviour against agreed acceptance cases, including rejected submissions and incomplete source data.

Keep an existing Foundry implementation usable as source systems and business requirements change. Support engineers diagnose pipeline failures and trace downstream dependencies before making corrections. They investigate slow builds and maintain schedules against agreed data freshness requirements.

Foundry consultants can review project permissions and dataset access, including markings where applicable. For ongoing changes, they assess application dependencies and test affected workflows before release. Recovery work includes rebuilding affected datasets and checking that dependent applications receive the expected data.