Enterprise Data Architect

Description:

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.