Enterprise Data Architect & Technical Lead (remote)
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.
About the Role
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—including data products (EDW), enterprise integration layer (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.
Responsibilities
- Own the architecture, implementation, and delivery of the Enterprise Data Warehouse (EDW)
- Leverage expertise in middleware and ETL technologies to partner with vendors and implement capabilities
- Apply deep understanding of MDM technologies to integrate them into 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
- 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
Requirements
- 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 of experience with the 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, organization, and execution skills
- Ability and desire to work in a fast-paced, dynamic environment
- Strong collaboration skills to effectively work across a diverse group, including executives, managers, and subject matter experts
- Self-starter who takes initiative to complete tasks
Preferred Qualifications
- Experience with SAP functional modules (Finance/Accounting, Supply Chain, Materials Management, Warehouse Management, Procure to Pay)
- Experience delivering BI/DW solutions to end users in the pharmaceutical industry
- Demonstrated ability to translate strategy into action
- Effective verbal and written communication at all levels of the organization
- Ability to work effectively in ambiguous situations and multitask
- Proven track record of increasing customer base
Pay
The estimated annual base salary as a new hire for this position ranges from $155,500 to $188,200. Individual base pay depends on factors such as education, experience, skills, abilities, internal equity, and alignment with market data. The salary may also be adjusted based on geographic location. Certain roles are eligible for additional incentive compensation, including merit increases, annual bonus, and long-term incentives in the form of stock options.
Benefits
Emergent offers a comprehensive benefits package. Eligibility for benefits is governed by the applicable plan documents and policies. Additional information can be found here.