• Translating business needs into long-term architecture solutions.
• Designing, developing, and maintaining the organization's future data architecture, including creating and implementing data models, data dictionaries, and data flow diagrams.
• Developing and implementing cloud-based Enterprise Data Management strategies and policies that align with the organization's overall objectives.
• Managing the organization's data assets, including data quality, data architecture, metadata management, data governance, and data security.
• Designing and implementing data management processes and procedures that ensure data is accurate, complete, and consistent.
• Work closely with the development teams and business stakeholders to ensure that the data architecture meets the organization's needs
• Develop and maintain data standards and best practices.
• Identify and resolve data architecture issues and challenges.

Requirements

• Master's degree in Computer Science, Information Systems, Engineering, or other Scientific/Technical discipline
• Minimum of 15 years of related work experience.
• Hands on experience performing data engineering, data pipeline implementation, and/or data enterprise management.
• Understanding of data management concepts, including data governance, data architecture, metadata management, data quality, data security, and data analytics.
• Experience with a range of data management tools and technologies, including data warehouses, data lakes, ETL tools, and data analytics platforms.
• Understand software security, software development and cloud deployment operations.
• Understand Git-based DevSecOps deployments and Kubernetes orchestration strategies.
• Able to effectively communicate how data can be leveraged to drive business value and improve decision-making.
• Ability to obtain Security clearance
• IAT Level II Security Certification or ability to obtain within 6 months.