A global leader in industrial products is currently looking for a Data Architect to plan, implement, and implement data management initiatives to transform its data quality and enterprise application performance.
Job Responsibilities:
- Responsible for the management, planning and development of the data architecture domain.
- Establish the Data Architecture vision and championing efforts to reach that vision.
- Participate in the Architecture Review Committee, representing the data architecture perspective.
- Setup, document, and maintain an enterprise data architecture development process, which together with the application and infrastructure enterprise architectures will ensure alignment of the total enterprise architecture with business strategy.
- Documenting the existing data architecture environment in order to produce and maintain an accurate "as is" view of current data environment.
- Translating agreed-upon architectural principles into strategic data architecture for the enterprise.
- Define a set of formal standards, policies, and process that integrate data architecture considerations and impact assessment into the broader set of Governance practices.
- Define process and criteria for granting exceptions to the data architecture standards.
- Define the architectural standards for data and data interfaces.
- Ensure that the target data architecture is revisited and updated as technology and business strategies evolve.
- Determine how to best-fit varied (and sometimes opposing) business needs into a single architected solution.
- Lead the development of the Enterprise Information and Conceptual / Logical data models.
- Champion the consistent use of data by encouraging common entity and attribute definitions and by the seeding of application models with components from the Enterprise model.
- Assist the analysts, developers and the Data Administration team to ensure the agreed-upon data architectural goals are factored into each designated program and project.
- Work with the Data Quality team in understanding areas where data architecture enhancement will assist the overall quality
Key Requirements:
- Degree in Computer Engineering / Computer Science or the equivalent.
- Familiarity and expertise with data modeling, database design, and data management techniques and models including:
- Data Mining Techniques
- Conceptual, Logical and Physical data modeling
- Familiarity with Object Modeling (UML).
- Defining data requirements and designing databases to satisfy client business objectives
- Familiarity with one of more data modeling tools
- Analysis of content and quality of databases.
- Data management practices and procedures
- Proven ability to earn respect and credibility with both technical and business leadership.
- Experience or familiarity with business process and procedures.
- Excellent verbal and writing skills: able to develop and present complex material effectively to a variety of technical and non-technical audiences.
- Proven ability to perform gap analysis between existing data architectures and proposed data architectures as well as track record of success at closing gaps.