Enterprise Data Architect & Technical Lead (US)

Preparedness today, safer tomorrow.

Emergent is a leading public health company that delivers protective and life-saving solutions to

communities around the world. Here, you will join passionate professionals where our culture is informed

by our values and commitment to protecting and saving lives.

I. JOB SUMMARY

The Enterprise Data Architect and Technical Lead is a strategic and hands-on leadership role within the Enterprise Information Management (EIM) team. This position is responsible for defining and driving the enterprise data architecture vision for scalable, high-quality data solutions. The role combines deep expertise in data modeling, middleware, MDM, and visualization with the ability to lead through influence—collaborating closely with ETL developers, data engineers, and BI developers across a multidisciplinary environment to drive outcomes.

The successful candidate will oversee the design and implementation of the Enterprise Data Warehouse – inclusive of data products (EDW), enterprise integration layer (ie, middleware), MDM, and ensuring that data platforms are aligned with business objectives, optimized for performance, and governed by best practices. This role will also guide the technical execution of data projects, manage resource allocation, and foster collaboration across functional and IT teams.

II. ESSENTIAL FUNCTIONS

Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions.

Data Architecture, MDM, Middleware & Strategy

• Own the architecture, implementation, and delivery of the Enterprise Data Warehouse (EDW)
• Knowledgeable on middleware & ETL technologies and ability to partner with vendors to implement capabilities
• Deep understanding of MDM technologies and how to integrate into an organizational operational processes
• Translate business requirements into scalable data architecture and actionable technical plans
• Define and enforce data standards, lineage, and attribute mapping across systems
• Design logical and dimensional data models (e.g., data products such as Customer360) to support enterprise reporting and analytics
• Build and maintain a comprehensive data dictionary and metadata repository
• Conduct in-depth data analysis using SQL and other tools to validate and audit data quality
• Ensure adherence to best practices in data governance, security, and performance optimization

Collaboration & Communication

• Work closely with functional partners and IT business analysts to understand requirements and translate them into technical solutions
• Communicate technical concepts clearly to both technical and non-technical audiences
• Partner with other IT teams to ensure seamless integration across systems and platforms
• Work independently and proactively in a fast-paced, deadline-driven environment

The above statements are intended to describe the nature of work performed by those in this job and are not an exhaustive list of all duties. Nothing in this job description restricts managements right to assign or reassign duties and responsibilities to this job at any time which reflects management’s assignment of essential functions.

III. MINIMUM EDUCATION, EXPERIENCE, SKILLS

• Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related field or equivalent experience in a technical or business discipline.

• 10-15 years’ experience with following tools and concepts

• Databases such as SQL Server / Oracle

• ETL or Middleware software such as Informatica, Mulesoft

• Columnar databases such as Snowflake / Vertica

• Data Modeling tools such as ERWin or ER Studio

• Processing large volumes of structured and unstructured data

• Data movement and transformation technologies

• Version Control software such as TFS, CVS or GIT (preferred)

• Strong analytics skills

• Strong written and verbal communication skills.

• Sound business and technical acumen

• Strong time management, organ