Enterprise Architect

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Job description

We are looking for a Chief Enterprise Data Architect who uses, develops and maintains descriptive representations (strategy, principles, design patterns, model and language

specifications) critical for effective data management in and among systems to enable the enterprise's business. Effective data management in the enterprise necessitates a focus on data integration and related key aspects, such as data standardization, data sharing and data movement, for example, by way of APIs and data pipelines.

The Data Architect collaborates with Business Analysts, Business Architects and Application Architects to:

Understand the enterprise business processes

Determine the data management responsibilities of the business functions

Understand the existing system landscape, systems' functional and data management responsibilities

Participate in and guide the design of systems (functional and data management responsibilities) as an integrated part of the in the enterprise architecture.

Review and communicate enterprise-level data-related descriptive representations.

Collectively, execution of these responsibilities results in the enterprise's data architecture.

The Data Architect must be available as technical expert or consultant in systems' architecture reviews, design and implementation activities.

Essential Responsibilities

Develop and maintain data management standards, policies, and guidelines.

Design and document the data architecture from the business and system requirements, including:

Data models/schemas (class/property and business rules)

Knowledge representations (ontologies)

Data capture, storage, movement, and manipulation approaches and techniques

Data currency, accuracy and precision, retention, security approaches and techniques

Advocate the business requirements and architecture

Communicate and provide data architecture / business expertise to other associates (i.e., Business Analysts, System Architects, DatabaseAdministrators) during system development; ensure systems' data architecture is compatible with existing and future enterprise data architecture.

Lead or support the design, implementation, and maintenance of data models/schemas and knowledge representations for system data stores and inter-system communication

Verify data model/schema and knowledge representation designs against the business and system requirements

Conduct stakeholder reviews on all data architecture deliverables

Mediate between project stakeholders

Apply reverse engineering techniques to understand and document existing data stores

Ensure governance and quality in the definition, production and usage of data assets

Assist in the development of overall project plans and timetables, analysis and identification of intermediate deliverables.

Communicate the value of data management to the organization

Provides and reports upon technical reviews and audits at the enterprise and individual system levels.

Provides consulting and mentoring on data architecture design practices

Provide short and long term data architecture strategies

Anticipate knowledge and information applications or use of data

Provide thought leadership; identify and analyze technical innovations and concepts supporting business objectives

Be informed on current and emerging technological trends; communicate and discuss these trends to with other architects as candidates for strategy and standards

Essential Characteristics

Skill and experience in the process of formulating data architectures

Good technical breadth with qualifications in other areas of the software development lifecycle

Ability to apply method-driven approaches in requirements through design

Knowledge and appreciation of the complete software development lifecycle from concept to operational capability

Effective team and technical leadership

Good interpersonal skills for communication with stakeholders

Ability to facilitate agreements and resolve conflicts amongst organizations

Education Requirements

A bachelor's or master's degree in computer science, data science or related field is required.

Additional certification in data management, enterprise architecture, or related areas are highly desirable.

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