Data Architect – Pharma Domain
5 days ago
Location:
Bengaluru/Hyderabad
Experience:
10-14 years, BE /BTech
Domain:
Pharma / Life Sciences
Type:
Full-Time / Permanent
We are looking for an experienced
Data Architect
with strong expertise in the
Pharma domain
, enterprise data modelling, and modern data architecture frameworks. This is a key role driving the design and governance of data across a complex, large-scale environment.
Key Responsibilities
- Lead the design of scalable, domain-oriented data architecture for Pharma use cases.
- Build conceptual, logical, and physical data models using ERwin Data Modeler.
- Define and implement data governance, metadata, and classification frameworks.
- Develop and maintain data blueprints, enterprise landscape maps, and end-to-end data flows.
- Architect solutions based on Data Mesh principles and domain-driven design.
- Work with medallion/lakehouse architectures to support analytics and data engineering teams.
- Partner with business and technology stakeholders to translate complex Pharma processes into data entities and models.
Required Skills & Experience
Pharma Domain Expertise
- Strong understanding of Pharma business processes such as R&D, clinical operations, manufacturing, regulatory, or supply chain.
Data Modeling
- Hands-on experience with ERwin Data Modeler.
- Ability to build dimensional, flattened, canonical, and domain-specific data models.
- Strong understanding of entity relationships aligned with business processes.
Data Governance
- Experience with governance frameworks (DAMA, stewardship, lineage, metadata).
- Knowledge of data classification standards including PHI/PII.
Architecture & Design
- Proven expertise in Data Mesh or domain-oriented architecture.
- Experience with medallion/lakehouse architecture (Bronze/Silver/Gold layers).
- Ability to develop enterprise-level data architecture blueprints and system landscape maps.
Additional Technical Skills (Preferred)
- SQL proficiency
- Experience with cloud data platforms (Azure/AWS/GCP)
- Understanding of ETL/ELT & modern data engineering practices
- Exposure to data lake technologies (Delta Lake, Databricks, or equivalents)
For more details, please reach out to
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