Delivery Architect, RWD

Delivery Architect, RWD

Company:
Norstella

Location:

Remote, United States

Date Posted:
Jun 19, 2026

Employment Type:

Full Time

Job : R-1996

Norstella is a premier global life sciences data and AI solutions provider dedicated to improving patient access to life‑saving therapies. We support pharmaceutical and biotech companies across the full drug development lifecycle, accelerating the drug development cycle, assessing competition, making data‑driven decisions, recruiting patients for clinical trials, and identifying barriers to therapies.

As a core technical contributor to Norstella's Real‑World Data platform, the RWD Delivery Architect will design, build, and maintain mission‑critical data pipelines that power commercial, market access, and HEOR analytics for leading pharmaceutical and biotech clients.

• Expert‑level experience designing, developing, scheduling, monitoring, and maintaining complex data pipelines and workflow orchestration solutions.
• Strong hands‑on expertise building scalable and reusable DAGs, custom operators, sensors, hooks, and task dependencies.
• Extensive experience managing Airflow environments – deployment, configuration, monitoring, troubleshooting, and performance optimization.
• Deep understanding of Airflow scheduling, task execution, retries, SLA management, logging, alerting, and workflow recovery mechanisms.

• Expert‑level proficiency developing robust, maintainable, and production‑grade data engineering solutions.
• Strong experience with Python libraries and frameworks commonly used for data processing, API integration, file handling, and automation.
• Experience writing clean, modular, testable, and efficient Python code following coding standards and best practices.
• Strong knowledge of ETL/ELT pipeline development, orchestration, and automation using Airflow and Python.

• Hands‑on experience with cloud‑based data ecosystems and core AWS services, including Amazon S3, Amazon Redshift, Redshift Data Shares, and SFTP integrations.
• Experience integrating Airflow with AWS Lambda, Glue, Cloud Watch, IAM, and Secrets Manager.

• Strong understanding of pipeline monitoring, error handling, retry strategies, and production operational support.
• Experience with structured and semi‑structured data formats: CSV, JSON, Parquet, and Avro.
• Ability to design scalable, reliable, and fault‑tolerant data workflows supporting enterprise‑level processing requirements.
• Strong understanding of CI/CD processes, version control (Git), and deployment automation for Airflow and Python applications.

• Strong domain knowledge in healthcare/medical claims data, including claims processing, adjudication, eligibility, provider/member data, ICD/CPT codes, healthcare reporting requirements, compliance and regulatory standards, and claims reconciliation.

• Experience collaborating with cross‑functional teams including Data Engineers, Business Analysts, QA, Architects, Dev Ops, and stakeholders.
• Ability to gather business requirements and translate them into technical workflow and data integration solutions.
• Excellent verbal and written communication skills, explaining technical concepts to technical and non‑technical audiences.
• Strong analytical and problem‑solving skills, troubleshooting complex workflow and data integration issues efficiently.
• Excellent attention to detail, ensuring data accuracy, consistency, and reliability across pipelines.
• Ability to work independently in fast‑paced environments, manage multiple priorities, and deliver high‑quality solutions within tight timelines.

• Medical and Prescription Drug Benefits
• Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA)
• Dental & Vision Benefits
• Basic Life and AD&D Benefits
• 401k Retirement Plan with Company Match
• Company Paid Short & Long‑Term Disability
• Paid Parental Leave
• Paid Time Off & Company Holidays

All candidates must be authorized to work in the United States. Norstella does not provide visa sponsorship or transfers, and we are not currently accepting candidates on an OPT…