
Director, Data Engineering
PCI Pharma Services
full-time
Posted on:
Location Type: Office
Location: Philadelphia • Illinois, Pennsylvania • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
AirflowAWSAzureBigQueryCloudETLJenkinsKafkaPythonScalaSparkSQLTerraform
About the role
- 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
- 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
- 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
Requirements
- Bachelor’s Degree in a related field and/or 5-7 years related experience and/or training
- 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)
Benefits
- Health insurance
- 401(k) matching
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data pipelinesdata ingestiondata transformationdata storagedata modelingETLELTdata warehousingSQLprogramming language
Soft skills
leadershipcollaborationcommunicationproblem-solvingorganizational skills
Certifications
Bachelor’s Degree