Senior Data Architect

TITLE: Senior Data Architect
LOCATION: Atlanta or Birmingham (hybrid, on-site 4 days a week)

Published Description:
The Senior Data Architect will provide strategic and technical leadership in key areas of data management, including: Data analysis, design and modeling, database management expertise, data quality and security management, creation/maintenance of data dictionaries and metadata registries

The Senior Data Architect should have a proven record of working with both business and technical groups, as well as moving into new technology areas and quickly mastering skills and knowledge required to administer, support, configure, consult, and build solutions within the framework.

Responsibilities:

• Define standards (naming, describing, governing, managing, modeling, cleansing, enriching, transforming, moving, storing, searching) that maximize the value of data as an enterprise asset.
• Champion data quality and quality improvement initiatives.
• Assess the impacts of change requests on the enterprise data architecture and infrastructure.
• Work with the Technology Organization business representation to serve as a liaison between data consumers and data solution development, integration, and governance teams.
• Work to ensure business data modeling is part of requirements analysis and system design.
• Provide leadership and guidance in the definition and development of data documentation and standards.
• Regularly review overall data management infrastructure for data integrity, performance, quality, recoverability, maintenance, and space requirement considerations.
• Provide technical leadership in the selection of technology and systems to meet business data needs.
• Provide input into data management strategy encompassing all forms of enterprise data, including structured and unstructured data as well as “big data” elements.
• Engage in concept discussions proposed technology solutions to meet business objectives.
• Stay abreast of the latest developments in information and data management throughout the industry.
• Capture, document, analyze, and correlate business information from multiple data sources.
• Create white papers and thorough documentation of data-related processes.
• Collaborate with end users to identify needs, gaps, and opportunities for improved data management and analytical solution delivery.
• Collaborate with peers; mentoring team members to enhance skills and abilities; providing leadership as required.

Requirements:

• A bachelor’s degree in computer science, Mathematics, Engineering, Information Management Systems, or a related degree is preferred.
• Proven knowledge of Enterprise Data and Information Architectures is required.
• 8 plus years of experience working in a fast-paced, data-driven organization is required.
• Strong technical competency skills in widely used database platforms such as SQL, T-SQL, PL-SQL, Spark, Hive, or Impala.
• Strong technical competency on platforms such as Linux, SQL Server, and Oracle.
• Strong understanding of Enterprise Data Catalogs, along with experience implementing a data catalog such as Informatica.
• Experience with Cloud Data Architecture, preferably Azure.
• Experience using MS Fabric and Databricks is preferred.
• Experience developing enterprise data and information architectures, models, standards, policies, and frameworks.
• Experience in data management, business intelligence, and decision support.
• Knowledge of logical and physical database design, modeling techniques, and development methodology.
• Knowledge of Business Intelligence practices and toolsets.
• Ability to transform technical jargon into meaningful business insight.
• Excellent customer service skills, collaboration, and teamwork focus.
• Ability to handle multiple assignments and conflicting priorities.

Preferred Experience:

• Experience working with the business to facilitate data management and governance adoption.
• Experience implementing data catalog solutions.
• Knowledge of Microsoft toolsets related to data management.
• Ability to influence others and communicate effectively at various organizational levels.
• Results-oriented, innovative, self-motivated, and committed to continuous learning.
• Ability to simplify complex topics for non-technical audiences.
• Strong presentation skills and relationship-building at all levels.