Note: The job is a remote job and is open to candidates in USA. Arcutis Biotherapeutics, Inc. is a pioneering medical dermatology company focused on revolutionizing the treatment of serious skin diseases. They are seeking a Biotech Data Engineer to design, build, and maintain scalable data pipelines and architectures, enabling analytics and AI/ML reporting across commercial functions.
Responsibilities
- Design, build, and maintain scalable, reliable, and cost-efficient data pipelines using Azure Databricks in support of analytics, machine learning, data science, and operational use cases
- Lead data engineering initiatives that enable AI/ML model development, LLM integrations, and AI-driven applications while ensuring scalability and alignment with enterprise and business priorities
- Architect and implement data integration frameworks across diverse Adtech and Martech ecosystems, incorporating Google Analytics, media campaign data, and third-party marketing APIs like Salesforce
- Manage and optimize data ingestion, transformation, and storage processes using SQL, Python, and PySpark to integrate structured and unstructured data sources
- Design and maintain API integrations with internal and external systems, including Python- and PySpark-based services and AI/LLM-powered APIs for advanced analytics and automation
- Administer and maintain Azure-based data tools and platforms (e.g., Databricks, ADF) to ensure operational excellence, reliability, and security
- Collaborate with internal stakeholders and external partners to evolve data platform design and architecture that supports advanced analytics, personalization, marketing intelligence, and marketing automation
- Execute against the company’s data and AI strategy by translating strategic goals into technical architecture, design and requirement documents, and implementation roadmaps
- Ensure data quality, integrity, and consistency through robust validation, monitoring, and alerting mechanisms within Azure Databricks
- Implement and enforce data governance, security, and compliance standards in collaboration with IT, InfoSec, and data governance teams
- Partner with analytics, marketing, commercial operations, and core technology/cybersecurity teams to deliver fit-for-purpose commercial data products
- Monitor and optimize data infrastructure costs, performance, and scalability across Azure cloud environments
- Develop and maintain architecture documentation, pipeline specifications, and design diagrams for transparency and knowledge sharing with technical and business stakeholders
- Participate in architecture discussions, design reviews, and CI/CD workflows to ensure high-quality engineering and deployment practices as part of an Agile engineering team
- Continuously evaluate and recommend new Azure services, designs, improvements, frameworks, and AI integration tools to enhance our data platform
- Drive automation, observability, and standardization across data workflows to improve efficiency and reduce manual intervention
- Complete all job duties in compliance with company policy, SOPs, safety rules, and applicable federal, state, and local regulations
Skills
- Bachelor of science degree required
- A minimum of 5 years transferable working experience in the area of operational support of a Data Engineering, Data Architecture, or Cloud Platforms function preferred
- 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
- Travel up to 20%
- 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
Company Overview