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Data Architect
2 months ago
Position Description:
Responsible for enterprise-wide data design, balancing optimization of data access with batch loading and resource utilization factors. Knowledgeable in most aspects of designing and constructing data architectures, operational data stores, and data marts. Focuses on enterprise-wide data modeling and database design. Defines data architecture standards, policies and procedures for the organization, structure, attributes and nomenclature of data elements, and applies accepted data content standards to technology projects. Responsible for business analysis, data acquisition and access analysis and design, Database Management Systems optimization, recovery strategy and load strategy design and implementation
Roles and Responsibilities:
Control project from start to finish to ensure high quality, innovative and functional design.
Collaborate with IT teams and management to devise a data strategy that addresses industry requirements.
Build an inventory of data needed to implement the architecture.
Research new opportunities for data acquisition.
Identify and evaluate current data management technologies.
Create a fluid, end-to-end vision for how data flows through an organization.
Develop data models for database structures.
Design, document, construct and deploy database architectures and applications (e.g., large relational
databases).
Integrate technical functionality (e.g., scalability, security, performance, data recovery, reliability, etc.).
Implement measures to ensure data accuracy and accessibility.
Constantly monitor, refine, and report on the performance of data management systems.
Meld new systems with existing warehouse structures.
Produce and enforce database development standards.
Maintain a corporate repository of all data architecture artifacts and procedures.
Required Qualifications:
A minimum of 7 years of experience with large and complex database management systems.
Expert/lead technical role. Defines and plans database architectures for enterprise systems.
Works on multiple projects as a project leader or as the subject matter expert. Works on projects/issues of high complexity that require in-depth knowledge across multiple technical areas and business segments.
Coaches and mentor's more junior technical staff
Desired Qualifications:
3-5 years of experience with data architecture, large-scale data modeling, database design, and business requirements analysis.
Technical leadership abilities in data architecture.
Strong understanding of the best practices in data modeling techniques including in-depth knowledge of the various normalization, dimensional modeling, and their appropriate usage in various solutions.
Demonstrated experience in large scale enterprise and data warehouse initiatives, involving multiple
departments.
Data visualization, data migration and data modeling.
Relational database management systems.
DBMS software, including SQL Server.
Machine learning, predictive modeling, and natural language processing.
Data mining and modeling tools.
Data management and reporting technologies, predictive analytics, data visualization and unstructured data.
Creative and analytical problem-solving capabilities.
Database and cloud computing design, architectures, and data lakes.
Strong knowledge transfer and mentoring skills; and Ability to communicate technical documentation
effectively to both technical and non-technical members of the team