Pharma Data Architecture Lead — Chicago (Onsite)

MathCo; Chicago (IL); On-site; USD 120,000 - 200,000; Full time

Job summary

MathCo is seeking a Lead Data Engineer in Chicago to design scalable data architectures and lead client engagements within a pharma analytics context.

You will collaborate with Data Engineering, Data Science, Product, and Business teams to deliver end-to-end data solutions, drive cloud migration efforts, and set governance standards across projects. This role emphasizes architectural leadership and cross-functional impact.

Qualifications

• Bachelor’s degree in a relevant field.
• Minimum 6 years of relevant experience, ideally in consulting and with Pharma clients.
• Experience designing data architectures for distributed systems and analytics solutions.

Responsibilities

• Design scalable data architecture frameworks with data models and data flows.
• Lead discussions on building or migrating data platforms to cloud and big data ecosystems.
• Collaborate with cross-functional teams to translate requirements into data solutions.
• Identify risks, gaps, and inefficiencies in data systems and propose optimizations.
• Establish data governance practices and ensure compliance in architecture initiatives.

Skills

Distributed architectures

POC / pilots

Data modelling

ETL/ELT

SQL

Big Data & cloud

PySpark/Spark

Education

Bachelor’s degree

Tools

EMR

Airflow

Spark

Hadoop

Job description

MathCo is seeking a Lead Data Engineer in Chicago to design scalable data architectures and lead client engagements within a pharma analytics context.

You will collaborate with Data Engineering, Data Science, Product, and Business teams to deliver end-to-end data solutions, drive cloud migration efforts, and set governance standards across projects. This role emphasizes architectural leadership and cross-functional impact.