Senior Enterprise Data Architect & Tech Lead

Socket.dev; United States; Remote; USD 156,000 - 188,000; Full time

Job summary

Emergent BioSolutions seeks an experienced Enterprise Data Architect and Technical Lead to define and drive the enterprise data architecture vision for scalable, high‑quality data solutions. You will lead through influence, collaborating with ETL, data, and BI teams to deliver data products and insights.

You will oversee the EDW design, middleware, MDM, and data governance, aligning platforms with business goals, improving performance, and ensuring best practices across data platforms and

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related field or equivalent experience.
• 10–15 years’ experience with databases, ETL or middleware, data modeling, and large data processing.
• Experience with data governance, security, and metadata management.

Responsibilities

• Own the architecture, implementation, and delivery of the Enterprise Data Warehouse (EDW).
• Define and enforce data standards, lineage, and attribute mapping across systems.
• Translate business requirements into scalable data architecture and actionable technical plans.
• Collaborate with ETL developers, data engineers, and BI developers across a multidisciplinary environment.
• Guide technical execution, manage resources, and foster cross-functional collaboration.

Skills

Data Architecture

MDM

Middleware

ETL

SQL

Data governance

Communication

Leadership

Education

Bachelor's degree in Computer Science or related field

Tools

SQL Server

Oracle

Informatica

Mulesoft

Snowflake

ERWin/ER Studio

Job description

Emergent BioSolutions seeks an experienced Enterprise Data Architect and Technical Lead to define and drive the enterprise data architecture vision for scalable, high‑quality data solutions. You will lead through influence, collaborating with ETL, data, and BI teams to deliver data products and insights.

You will oversee the EDW design, middleware, MDM, and data governance, aligning platforms with business goals, improving performance, and ensuring best practices across data platforms and