Director, Data Engineering

PCI Services • Philadelphia, PA

70d

About The Position

As a hand-on leader & contributor to PCI Pharma Services' digital transformation, this role is responsible for leading the design, development and maintenance of robust data engineering solutions that enable real-time analytics, operational efficiency, and scalable innovation across the pharmaceutical product lifecycle. By building and optimizing data pipelines, platforms, and governance frameworks, this position supports PCI's mission to accelerate the delivery of life-changing therapies. The role aligns with PCI's commitment to excellence in clinical and commercial services, leveraging data as a strategic asset to enhance decision-making, ensure compliance, and drive continuous improvement across global operations.

Requirements

• Experience with modern data platforms and tools (e.g., Databricks, Snowflake, BigQuery, dbt, Airflow, Spark).
• Strong understanding of data modeling, ETL/ELT processes, and data warehousing best practices.
• Familiarity with CI/CD tools and practices (e.g., GitHub Actions, Jenkins, Terraform).
• Experience working in cloud environments (AWS or Azure).
• Proficiency in SQL and at least one programming language (e.g., Python, Scala).
• Bachelor's Degree in a related field and/or 5-7 years related experience and/or training.
• College Level Mathematical Skills.
• Advanced Computer Skills: Ability to perform the most complex computer tasks and operate various computer programs.
• Full Professional Proficiency: Ability to speak, read, and write fluently and accurately on all levels pertinent to professional needs.
• Very High Reasoning: Ability to define problems, collect data, establish facts, and draw valid conclusions. Be able to interpret an extensive variety of technical instructions in math or diagram form and deal with several abstract/concrete variables.

Nice To Haves

• Experience working with data platform vendors or managed services.
• Knowledge of data governance frameworks and compliance standards.
• Exposure to data mesh or domain-oriented data architecture.
• Experience mentoring or leading junior engineers.
• Prior experience in a regulated environment, particularly in the pharmaceutical sector.

Responsibilities

• Design, build, and maintain scalable, reliable and cost-efficient data pipelines to support analytics, machine learning, and operational use cases.
• Lead data engineering initiatives that support AI/ML model development, deployment, and scalability across enterprise platforms in alignment with business priorities.
• Manage and optimize data ingestion, transformation, and storage processes across structured and unstructured data sources ensuring high data availability and performance.
• Administer and maintain data tools and platforms (e.g., Databricks, Airflow, dbt, Kafka) to ensure high availability and performance.
• Collaborate with a data platform partner or vendor to implement, integrate, and evolve platform capabilities aligned with business needs.
• Execute against the company's data strategy by translating strategic goals into technical roadmaps and deliverables.
• Ensure data quality, integrity, and consistency through robust validation, monitoring, and alerting mechanisms.
• Implement and enforce data governance, security, and compliance standards in collaboration with relevant stakeholders.
• Work closely with data resources and business teams to understand data requirements and deliver fit-for-purpose solutions that meet defined SLAs.
• Manage and mentor junior data resources and other technical resources, fostering a culture of learning, accountability and excellence.
• Monitor and optimize data infrastructure costs, performance, and scalability in cloud and hybrid environments.
• Develop and maintain documentation for data architecture, pipelines, and processes to support transparency and knowledge sharing.
• Participate in code reviews, architecture discussions, and agile ceremonies to ensure high-quality engineering practices.
• Evaluate and recommend new tools, frameworks, and technologies to improve the data engineering ecosystem.
• Support incident response and troubleshooting for data-related issues, ensuring timely resolution and root cause analysis.
• Work within approved CI/CD procedures to ensure consistent, secure, and automated deployment of data engineering solutions.
• Drive automation and standardization across data workflows to improve efficiency and reduce manual effort.
• Completes all job duties in compliance with company policy, SOP's, safety rules, along with all federal, state, and local regulations, including OSHA, FDA, cGMP standards and employment law.
• This position may require overtime and/or weekend work.
• Knowledge of and adherence to all PCI, cGMP, and GCP policies, procedures, rules.
• Attendance of work is an essential function of this position.
• Performs other duties as assigned by Manager/Supervisor.

What This Job Offers

• Job Type: Full-time
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree