Data Engineer / Data Architect (Pharma / biotech domain)

Data Engineer / Data Architect 📍 Location: Westlake, CA (Hybrid/Onsite) 📄 Type: Contract-to-Hire We are seeking a highly skilled Data Engineer / Data Architect to design, build, and optimize scalable cloud-based data platforms supporting analytics, AI/ML, reporting, and commercial business operations. Key Responsibilities • Design and develop scalable data pipelines using Azure Databricks, Azure Data Factory, SQL, Python, and PySpark. • Architect and implement data integration solutions across marketing, sales, and commercial data ecosystems. • Build and maintain API integrations with internal systems, third-party platforms, and AI/LLM services. • Support AI/ML initiatives, advanced analytics, and data-driven applications. • Ensure data quality, governance, security, compliance, and operational excellence across Azure environments. • Collaborate with business, analytics, marketing, and technology teams to deliver enterprise data solutions. • Optimize cloud data infrastructure performance, scalability, and cost efficiency. Required Competencies & Skills • Experience with Azure Cloud (Databricks, DevOps, DataFactory) • Pharma / biotech domain experience, specifically within the commercial data space (sales, market access / payer, marketing) • Strong hands-on python, pyspark, and SQL skills • Direct experience with building and leveraging API integrations in ETL pipeline development • Experience integrating with current best-in-class AI models and APIs like OpenAI API, Databricks AI models, etc. • Self-driven with ability to independently design end-to-end data pipelines while ensuring architectural best practices • Ability to collaborate with a broad set of stakeholders to evaluate the business need and construct a technical design that can enable stakeholder priorities Preferred Competencies & Skills • Strong knowledge of and experience with maximizing business value using Databricks Unity Catalog or Databricks One capabilities • Familiarity with tools and practices in the Martech and Adtech landscape • Knowledge of Consumer, Patient, or HCP data ecosystems • Experience with identity providers like LiveRamp, Acxiom, Experian, etc. • Experience with custom-built or third-party Customer Data Platforms (CDP) • Experience with marketing automation tools Working Conditions • General office environment. Work is generally sedentary in nature but may require standing and walking for up to 10% of the time. Travel up to 20%.