Enterprise Data Architect

$172,000 - $258,000/Yr

Jazz Pharmaceuticals - Boston, MA

Full-time

Boston, MA

Chemical Manufacturing

About the position

The Enterprise Data Architect at Jazz Pharmaceuticals is responsible for designing, creating, and managing the enterprise data architecture and standards. This role is crucial for establishing a solid foundation for enterprise data, ensuring secure and consistent organization of data to enable interconnectivity across functional data assets. The architect will set standards for data modeling, integration, engineering best practices, and data security design, while collaborating with various teams to drive data-driven thinking and unlock the value of enterprise data.

Responsibilities

• Defines high level data architecture strategy, creating guidelines for data architecture including acquisition, staging, storage, archival/retention, redundancy and master data.
• Simplifies the existing data architecture across the enterprise, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company.
• Designs or oversees the design of the structure and security for data systems across Jazz, including database layers, data fabric, data warehouses, and lakes.
• Establishes data access controls and security measures.
• Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards.
• Leads design review and quality assurance of project data architecture artifacts.
• Defines and manages standards, guidelines, and processes to ensure the highest levels of data quality and data security.
• Leads team in ensuring best practice data architecture across the enterprise including functionally specific project needs.
• Evaluates and recommends emerging technologies for data management, storage, and analytics.
• Leads initiatives related to progressing Jazz's data architecture in support of data science and artificial intelligence initiatives.
• Designs master data elements with a focus on interoperability across data assets to deliver transformative insights.
• Ensures development and maintenance activities are in line with the enterprise architecture.
• Collaborates with the Enterprise Data Management team to maintain repositories for representing the data elements including the entities, relationships and attributes, the information flows, and business glossary.
• Collaborates with Enterprise Data Strategy team peers including Governance Lead, Lead Data Scientist and Enterprise Data Platforms as well as Information Services Peers including but not limited to IS Strategic Partners, Information Security and the Enterprise Architect.
• Encourages a data citizenship mindset, ensuring we all collectively take responsibility and accountability for the data we create, consume, manage and share.
• Summarizes and communicates the concepts of enterprise data and data architecture to stakeholders with various levels of comprehension.

Requirements

• 10+ years of relevant experience in design and implementation of data models for enterprise data warehouse, data lake and data science initiatives.
• Experience leading projects involving data warehousing, data modeling, and data security.
• Design experience in AWS Redshift, Informatica PowerCenter and Power BI/Tableau.
• Experience leading a team of architects and engineers both as employees and consultants.
• Experience working in highly collaborative cross-functional teams and delivering solutions through both waterfall and agile project delivery.
• Prior experience working in a highly regulated industry required, experience in pharmaceuticals, biotech industry or consulting preferred.
• Proficient in one or more programming languages such as Python, R, or SQL.
• Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS) and modern data warehouse tools (Snowflake, Databricks).
• Experience with data engineering tools such as Informatica PowerCenter / IICS and data modeling tools.
• Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques.
• Able to think strategically and relate architectural decisions and recommendations to business needs.
• Able to assess traditional and modern data architecture components and overall solution design based on business needs.
• Experience with business intelligence tools and technologies such as Power BI, and Tableau.
• Passionate about promoting a data driven culture while operating with the highest integrity and ensuring responsible and ethical data usage.
• Has a 'service' mentality, recognizing and promoting the enabling value that data can provide to the business.
• Able to regularly learn and adopt new technology, especially in the ML/AI realm.
• Strong analytical and problem-solving skills with a positive 'can do' approach to solutioning.
• Strong communication skills with the ability to synthesize and clearly communicate large volumes of complex information to senior management.
• Strong collaborator in complex, cross-functional teams involving data scientists, business analysts, and stakeholders.
• Committed to forming trusting, collaborative and strategic partnerships with internal stakeholders and develop pragmatic, innovative approaches to meet complex data needs and maximize business value.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) retirement savings plan
• Flexible paid vacation