Why this role stands out
Accelerate your career with AKAASA Technologies by leading high-impact data modeling initiatives within the dynamic Life Sciences sector, all while enjoying the freedom of a fully remote work environment. This role is perfect for a detail-oriented expert who thrives on designing sophisticated, scalable architectures and wants to leverage their deep domain expertise to solve complex, real-world commercial challenges. Apply today to join a collaborative team where your technical skills will drive meaningful innovation and professional growth.
Quick overview
Job description
- SQL (5+ years) – Expert ability with enterprise, dimensional, and canonical data modeling techniques.
- Databricks & Delta Lake (3+ years) – Hands-on experience designing schemas for Medallion Architecture (Bronze, Silver, Gold).
- Commercial Life Sciences Data (3+ years) – Deep knowledge of IQVIA, Symphony Health, Veeva CRM, HCP/HCO reference data, Specialty Pharmacy/Patient Hub feeds, and Payer/Formulary datasets.
ADDITIONAL DESIRED SKILLS
- Experience designing scalable data models for Patient Journey Analytics and HCP 360 use cases.
- Familiarity with data granularity, refresh cycles, coverage limitations, and provider linkage methodologies.
- Background in data governance, data lineage, and HIPAA/patient privacy requirements.
CANDIDATE PROFILE
The ideal candidate is a technical yet business-savvy Data Modeler with deep domain expertise in Commercial Life Sciences. They thrive in cross-functional environments, comfortably communicating technical schema designs to business SMEs while supplying clear specifications to data engineers.
Job Responsibilities
- Design robust conceptual, logical, and physical data models across core domains including Patient, HCP, HCO, Product, and Payer.
- Establish schema and modeling standards for Bronze, Silver, and Gold layers using Databricks Delta Lake and Medallion Architecture.
- Create source-to-target mappings, define business rules, and design reusable data structures to support enterprise consumption.
- Collaborate with engineering, architecture, and business teams on identity resolution, data governance, and patient privacy frameworks.
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