The Enterprise Data Architect is a skilled and dedicated resource to analyze the companies (structured and un-structured) data and information requirements, identify technical approaches, formulate data designs, and recommend architectures that satisfy the requirements. Architectures must ensure data integrity, performance, scalability and high-availability. Primary focus is on enterprise strategy and direction as well as execution.
Specific Responsibilities: - Develop expert knowledge of companies business and problem/solution domain - Define data, information and underlying technology (taxonomy/DB) roadmap - Develop enterprise-level conceptual, logical and physical data models working in concert with Development and sponsor consensus/ approval - Establish data/database architecture guiding principles and design goals; Socialize for acceptance - Facilitate and review enterprise wide data dictionaries and taxonomies; again, working closely with Development and other domain experts. - Establish information models, data flows and data life-cycles throughout the enterprise architecture - Analyze and specify standards based data exchange with 3rd parties (e.g., XML, XBRL) - Identify data integration opportunities - Collaborate with Infrastructure on taxonomy/database infrastructure specifications - Evaluate, recommend and select taxonomy/database tools & utilities - Establish formal policies and procedures for Data Model review and approval - Identify and implement best practices, tools and standards (ER modeling, normalization, data security, etc) - Manage data architecture, data quality, data standards and data structures - Facilitate database performance, scale and availability activities - Bachelors &/or Masters degree with concentration in a technical field - Minimum of 10 years experience with information management technologies - Proven background in the design and implementation of large scale and complex custom application development systems (e.g., transactional and data warehouse). - Proven knowledge and hands-on experience modeling, designing, and developing Oracle, MySQL, MS SQL Server based databases. Experience with other databases such as UDB, Informix, as well as Active Directory is a plus. - Proven broad technical knowledge of data architectures and strong understanding of the Systems Development Life Cycle and methodologies. - Strong experience in object-oriented design, XML, distributed systems, Internet/intranet strategies j2ee frameworks and services oriented architecture. - Experience with deployment on SAN storage hardware. - Strong communication skills both verbal and written The Enterprise Data Architect’s (EDAs) Key Responsibilities: 1. Define and implement overall modelling standards, guidelines, best practices and approved modelling techniques and approaches. Direct Responsibility. 2. Plan, document and present enterprise data architecture-related strategies such as structured, unstructured and metadata. Direct Responsibility 3. The creation of physical and logical data models in the organisation leveraging resources within the current team. Direct Responsibility. 4. Support the development of the IT Strategies and their alignment with the Business Strategies. Shared Responsibility. 5. Create and maintain an approach to enterprise data governance. Direct Responsibility 6. Formalise a Program Management approach integrated with Governance, SDLC, Change Management and closer Business Alignment for the Data Systems. Direct Responsibility 7. Create and maintain enterprise-level data architecture artifacts. Direct Responsibility 8. Create and communicate data architecture, data quality, and data integration policies, standards, guidelines, and procedures throughout the organisation. Direct Responsibility 9. Create and maintain data environment performance attributes in order to ensure optimal performance of the organisation's data environment. Shared Responsibility 10. Participate in all data integration and enterprise information management (EIM) programs and projects by rationalising data processing for reusable module development. Shared Responsibility. Technical Skills: Data Modelling Data Manipulation Data Rationalisation Systems and Programs: Microsoft Office ERWin or similar Leadership and Management: 1. Mentors and coaches employees to facilitate technical and business knowledge. 2. Leads, manages and motivates others to achieve required performance goals and maximise results. 3. Delegates appropriately and effectively. 4. Creates, manages and influences virtual teams. 5. Exhibits strong influencing skills with Senior IT and Business Stakeholders. Experience: 1. Extensive experience of the Data Architecture discipline, in a large and preferably global organisation. 2. Extensive data modelling, manipulation and rationalisation experience within complex environments. 3. Broad and in-depth experience of complex data environments design 4. Considerable experience of SOA based Enterprise Data architectures rush your profiles to sa...@inherenttechnologies.com -- Introduce business in 3800 cities. 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