Enterprise Data Architect

At least 15+ years experienced Enterprise Data Architect needed for designing, implementing, and governing the organization's enterprise-wide data strategy and architecture. This individual will possess a deep understanding of diverse data technologies, architecture best practices, and the ability to translate business needs into robust data solutions.
Responsibilities:
•    Lead the development and execution of the enterprise data strategy:
o    Analyze business needs and data requirements across various departments.
o    Define the target state data architecture, aligning with business objectives and technology roadmap.
o    Develop and implement data governance policies, standards, and procedures.
o    Recommend and implement data management solutions, including data warehousing, data lakes, and data lakes.
•    Design and implement data solutions:
o    Design and develop logical and physical data models, considering scalability, performance, and security.
o    Select and configure appropriate data integration tools and technologies.
o    Ensure data quality, consistency, and accessibility across the organization.
o    Collaborate with data engineers, developers, and business analysts to implement data solutions.
•    Provide technical expertise and guidance:
o    Advise stakeholders on data architecture best practices and emerging technologies.
o    Mentor and guide junior data architects and data engineers.
o    Develop and maintain technical documentation for data architecture and solutions.
•    Stay up-to-date on the latest data management trends and technologies:
o    Continuously research and evaluate new data management tools, platforms, and methodologies.
o    Identify and recommend opportunities to leverage emerging technologies for data-driven initiatives.

Qualifications:
•    15+ years of experience in enterprise data architecture, data modeling, and data management.
•    Proven track record of successfully designing and implementing complex data solutions.
•    In-depth knowledge of data modeling techniques, data governance principles, and data security best practices.
•    Expertise in various data management technologies, including data warehousing, data lakes, ETL/ELT tools, and data integration platforms.
•    Strong understanding of cloud computing and its implications for data management.
•    Excellent communication, collaboration, and problem-solving skills.
•    Ability to work independently and as part of a cross-functional team.

Preferred Qualifications:
•    Experience with big data technologies (e.g., Hadoop, Spark).
•    Experience with data visualization tools and techniques.
•    Experience in a specific industry relevant to the organization.
 

All your information will be kept confidential according to EEO guidelines.