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Data Architect

4 months ago

Waltham, United States Alkermes Full time

The Data Architect is responsible for designing, developing, supporting, and maintaining the enterprise data and analytics framework and data-related applications to support cross-business functions and domains. 

All work of the Data Architect is conducted within regulatory guidelines and industry best practices. 

Collaboration and Communication:

Takes a leadership role in driving effective collaboration across IT and relevant business functions Uses effective communications to influence project stakeholders and adapt to each situation Mentors and motivates members of the project team, including cross-functional members

Self Awareness and Adaptibility:

Serves as a leader and change agent across IT and cross-functional project teams  Engages with others in IT and key business areas proactively to determine impacts of upcoming changes  Drives continuous improvement and innovation within IT Sets the highest standards for personal performance regardless of project difficulty Grows knowledge in areas outside of IT Follows policies and procedures, identifies necessary changes and facilitates updates as required

Decision Making:

Leads cross-functional project teams in problem solving Known as the trusted technical source for knowledge and advice on complex solutions and projects Applies innovative approaches and methods to complex projects and solutions Takes full accountability and responsibility for projects and decisions with minimal consultation

Customer Focus:

Anticipates major customers’ needs and is committed to developing value-added solutions that meet them successfully Builds broad network of relationships with customers and proactively seeks feedback on IT products and services

Basic Qualifications:

Bachelors degree ( or 3rd level degree (EU) in Computer Science or equivalent
AND/OR Technical Certification (. Microsoft, Citrix, VMware) AND/OR Experience (9+ years) in similar role

Preferred Qualifications:

Technical Expertise:

Good understanding of data modeling techniques (hierarchical, relational, object oriented, entity-relational, dimensional, graph) and principles (1NF, 2NF, 3NF) Experience administering, developing in, and establishing best practices for Informatica SaaS data integration solution (IICS). Experience defining enterprise data architecture framework, standards, and principles across different data domains. Exposure to data and analytics applications such as cloud data solutions, data pipelines, analytics platforms, and data governance applications/catalogs. (Snowflake, Tableau, Alation preferred) Exposure to Agile operating model(s) (Scrum, kanban, Scrum-Ban) Analyze business requirements and author technical specifications for data solutions, including data pipelines, data models, integrations, transformations, and data marts/warehouses. Understands the technology from a systematic, “big picture” view Ensure that the data and analytics solutions align with enterprise architecture principles and business strategy direction. Design and develop data engineering solutions, balancing business needs and technical implementation details to satisfy requirements. Identify opportunities to improve the quality and reliability of data assets. Acts as a subject matter expert for assigned technical areas and has knowledge in other key business area(s) Manages multi-functional and multi-site teams and projects Facilitates knowledge sharing and creative problem solving with the affected business function Knows and/or has experience with pharmaceutical concepts (. GxP, validation)

Candidate must be able to accommodate a hybrid 2-3/days per week in office schedule. 

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