Data Modeler Job at Akaasa Technologies, North Dakota

  • Akaasa Technologies
  • North Dakota

Job Description

Title: Data Modeler Commercial Life Sciences

POSITION OVERVIEW

We are seeking a Data Modeler to join our team in supporting a Databricks unified data platform initiative. The primary focus is building a common data model and developing reusable, high-impact data products such as Patient Journey and HCP 360. This role bridges business strategy and technical execution across critical commercial life sciences data domains.

DAY-TO-DAY RESPONSIBILITIES
  • Design conceptual, logical, and physical data models across patient, HCP, HCO, product, payer, and commercial activity domains.
  • Define and maintain modeling standards across Bronze, Silver, and Gold medallion layers on Databricks Delta Lake.
  • Establish harmonized entities in the Silver layer and consumption-ready data products in the Gold layer.
  • Translate complex business requirements into entity relationships, data grain, shared dimensions, business definitions, and historical tracking strategies.
  • Develop detailed source-to-target mappings and build reusable data structures that support multiple downstream data products.
  • Collaborate closely with business SMEs, architects, and data engineers on identity resolution, data quality, lineage, governance, and patient privacy compliance.
REQUIRED SKILLS
  • 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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