Data Mesh Architect– Life Sciences

Company Description

We at Entiovi Technologies provide digital transformation using new-age intelligent technologies for more than 8 years. We have clients located primarily in the US and Europe that are served by our dedicated teams. This job is part of our expansion in India.

Role Description

We are looking for an experienced professional to join our team:

Objective:

Design and implement a federated Data Mesh architecture for Research Informatics, ensuring “AI-ready” scientific data through standardized Core Data Entities (CDEs), data product governance, and seamless interoperability across domains.

Key Responsibilities:

Architect the end-to-end data mesh platform using AWS, Snowflake, Palantir, and metadata tools.

Define CDEs and data product contracts for domains (Biology, Chemistry, Omics).

Establish federated governance and metadata lineage frameworks.

Partner with domain experts to design FAIR and reusable data products.

Drive adoption among scientists through integrations with GraphPad, ELN, and other lab tools.

Required Skills:

Strong knowledge of AWS S3, Snowflake, Palantir Foundry, Databricks.

Proven experience in data architecture, metadata modeling, and data product design.

Familiarity with FAIR data principles, Life Sciences workflows, and ontologies.

Excellent stakeholder and communication skills across scientific and IT functions.

Good to Have:

Experience with ontology/semantic modeling (e.g., OBO, BioPortal).

Prior experience with pharma R&D data (LIMS, ELN, omics).

Certifications in AWS, Snowflake, or data governance tools.

📍 Location: Remote