Apply on Employer Site

EPM Scientific · 4 days ago

Director, Data Architecture Development

Conshohocken, PA

Full-time

Onsite

Director/Executive

$220K/yr - $250K/yr

15+ years exp

EPM Scientific is seeking a Director of Data Architecture Development to lead the design and implementation of scalable data solutions. The role involves overseeing data transformation processes and collaborating with cross-functional teams to ensure data environments align with business needs.

BiotechnologyRecruiting

Hiring Manager

Brooke Culbertson

Responsibilities

Architect and implement data solutions: Design and deploy scalable programs using modern data platforms and tools, ensuring robust architecture and performance

Lead technical development and team guidance: Serve as hands-on architect and mentor for data engineers, driving efficient pipeline design and implementation

Establish data frameworks and standards: Define architecture principles, data modeling practices, and governance processes for quality, integrity, and harmonization across domains

Manage data transformation and integration: Oversee ETL/ELT processes for commercial datasets, maintain metadata, and optimize warehouse performance

Collaborate and continuously improve: Partner with cross-functional teams and external resources to align data environments with business needs, while evolving architecture for scalability and analytics

Qualification

Data architectureCloud environmentsAzure SynapseData engineeringSQLPower BIETL/ELT processesPharmaceutical datasetsTeam leadershipMentoring

Required

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline

Minimum of 15 years of experience in pharmaceutical commercial data management, data engineering, or data architecture roles

Proven track record designing and developing commercial data warehouses in cloud environments, preferably Microsoft Azure

Expertise with Azure Synapse, Databricks, Fabric, SQL, and Power BI integration

Deep understanding of pharmaceutical commercial datasets, including: Patient-level data (APLD): IQVIA, Komodo, PurpleLab, etc., Formulary data: MMIT, Projected national data: Xponent, NSP, NPA, etc., International data: MIDAS, Drug distribution data: IQVIA DDD, Reference data: OneKey, OpenData, Specialty pharmacy / Specialty distributor data (SP/SD)