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10-12 Years
Not Disclosed
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Job Description

Responsibilities:

  • Develop and maintain the organization's IT architecture framework, ensuring alignment with business objectives, industry best practices, and emerging technologies.
  • Serve as the hands-on technical architect and subject matter expert for Data Governance, Data Quality, Master Data Management (MDM), Metadata Management, Data Catalog, and AI-enabled data management platforms.
  • Design, implement, and maintain enterprise data architecture standards, canonical data models, metadata frameworks, and governance practices that promote trusted, discoverable, and reusable data assets.
  • Lead technical design and configuration of MDM solutions, including data modeling, matching, survivorship, hierarchy management, and integration patterns across critical business domains.
  • Analyze enterprise data quality issues through data profiling, root cause analysis, quality assessments, and measurement frameworks; define remediation strategies and business rules to improve data reliability and compliance.
  • Architect and optimize enterprise Data Catalog and Metadata Management capabilities, including business glossary, lineage, classification, stewardship, and metadata enrichment processes.
  • Identify and implement AI, machine learning, and intelligent automation capabilities to enhance data quality monitoring, anomaly detection, metadata enrichment, entity resolution, stewardship workflows, and governance operations.
  • Provide technical leadership and guidance to architecture and development teams, ensuring adherence to architectural principles, standards, and guidelines.
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions that meet functional and non-functional requirements.
  • Design end-to-end IT solutions, including infrastructure, applications, data, and security components, to support business processes and workflows.
  • Evaluate and recommend technologies, tools, and methodologies to enhance the organization's IT capabilities and drive innovation.
  • Lead architectural reviews and provide guidance to development teams to ensure adherence to architectural principles, standards, and guidelines.
  • Identify and mitigate architectural risks and issues through proactive planning and effective communication with stakeholders.
  • Define and maintain documentation related to IT architecture, including diagrams, standards, policies, and procedures.
  • Stay current with industry trends, emerging technologies, and best practices in IT architecture, and apply knowledge to drive continuous improvement.
  • Measurably impact company performance by delivering high quality, scalable data products.
  • And all other duties as needed or assigned.

Qualifications (Minimum Required):

  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • Fortrea may consider relevant and equivalent experience in lieu of educational requirements.

Experience (Minimum Required):

  • 10 years of experience in Enterprise, Business, Information, Systems and Application, Solution Architectures.
  • Strong expertise in designing and implementing enterprise-scale IT solutions across multiple platforms and technologies.
  • Hands-on experience designing, implementing, and supporting enterprise data architecture, Data Governance, Data Quality, Metadata Management, Data Catalog, MDM, or related data management solutions.
  • Must have experience implementing data solutions in Microsoft Azure
  • In-depth knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and their services.
  • Proficiency in system integration techniques, including API design, microservices architecture, and message queuing protocols.
  • Hands-on experience with infrastructure as code (IaC) tools such as Terraform, Ansible, or Puppet.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively with stakeholders.

Preferred Qualifications Include:

  • Master's degree in Computer Science, Information Technology, or related field.
  • Experience in pharmaceutical R and D, clinical development and/or healthcare IT.

More Info

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Key Skills

Data Governance & Data Quality

Master Data Management (MDM)

Microsoft Azure & Cloud Architecture

Metadata Management & Data Catalog

AI/ML & Intelligent Automation