Job title: Director, Solution Architect - Data Platform

Job type: Permanent

Salary: Competitive, commensurate with experience

Role Location: Princeton, NJ

The company: A leading biotechnology company dedicated to transforming healthcare through innovative therapies and diagnostics. This organization leverages advanced data ecosystems to accelerate drug discovery, optimize clinical trials, and enhance patient outcomes. With a strong presence in R&D, clinical operations, and commercial functions, they integrate internal and external data sources to drive precision medicine, empowering scientists and business leaders to deliver life-changing solutions in a regulated, compliant environment.

Role and responsibilities:

• Architect and design scalable data solutions using Airflow, Databricks, DBT, and Reltio within a cloud-based platform (AWS preferred), ensuring seamless integration of modern data technologies.

• Implement data mesh principles, leveraging Unity Catalog, Metastore, Delta Lake, and medallion architecture to create accessible, well-governed data ecosystems.

• Integrate the data platform with AI, compute, and analytical systems, collaborating with the AI platform team to facilitate MLOps solutions.

• Collaborate with R&D, clinical operations, commercial, and platform teams to translate data governance policies into technical solutions, ensuring data quality, lineage tracking, access control, and GxP compliance.

• Guide the development of efficient data pipelines, workflows, and reusable solution patterns to reduce governance friction and accelerate compliant data usage.

• Define best practices and architectural frameworks for modern cloud-based data platforms in a regulated biotech environment.

• Engage with data producers, consumers, stewards, and engineers to tailor solutions that meet diverse scientific and business needs.

• Ensure regulatory adherence, data security, and compliance with GxP standards across all data workflows.

• Contribute to the cohesion of the broader data ecosystem, including third-party tools, external data sources, and partner integrations.

Job requirements:

• Bachelor’s degree in Computer Science, Bioinformatics, or a related field (Master’s or PhD preferred).

• 10+ years of experience in data engineering, data architecture, or related roles within biotech or pharma.

• Expertise in Airflow, Databricks, DBT, and Reltio, with a strong understanding of orchestration, transformation, and master data management (MDM).

• Proficiency in Python for developing scalable data pipelines and AWS-based architectures.

• Proven experience designing and implementing data mesh architectures in AWS.

• Deep knowledge of GxP and regulatory compliance in biotech/pharma data platforms.

• Understanding of AI, analytics, and MLOps to support model development and integration.

• Demonstrated ability to collaborate with data governance teams on metadata management, lineage tracking, and access control.

• Excellent stakeholder management, communication, and influencing skills across technical and non-technical teams.

• Biotech or pharma experience is required, with a strong understanding of data flows across R&D, clinical, and commercial functions.

Benefits:

• Competitive salary and comprehensive health benefits.

• Opportunities for professional growth and leadership in a cutting-edge biotech environment.

• Collaborative, innovative culture focused on advancing healthcare.

• Flexible work arrangements, supporting work-life balance.

• Access to state-of-the-art technologies and resources in a regulated, data-driven ecosystem.

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