Job Detail
Technical Architect is a hybrid position as compared to larger shops in the industry. It combines the role of architect, consultant, troubleshooter, extract, transform and load (ETL), application developer and EAI expert into a single position. However depending on the domain (Application, Data, System, Security), level of expertise may vary.
• Define, analyze, and review architecture and technical requirements.
• Involve and recommend enterprise’s server hardware, operating system for the enterprise data warehouse.
• Participates in the drafting of Service Level Agreements (SLA).
• Lead a team of developers and mentor junior team members.
• Involve in enterprise application integration (EAI). This includes defining the opportunities for integration, selecting the tools, specifying the shared data & code resources, defining the interfaces and data-flows, and monitoring the success of said integration.
• Responsible for defining the application tiers, frameworks, components types and interfaces. Also, creates the first-draft graphical template of UML design models used by the Project Architects.
• Specifies and provides ownership of reusable application components or reusable application code.
• Sets Data Policy and the technical solution for the management, storage, access, navigation, movement, and transformation of data.
• Specifies recommended DBMS and ETL tools and technologies for structured and unstructured content.
• Reviews the policies and work of the Data Base Administrators.
• Provide framework, stewardship, governance, and decision making for the management of enterprise data for project development teams, business users and other stake-holders.
• Balance short-term versus long-term actions, strategic versus tactical requirements, while continuing to move forward towards the strategic vision; participate in the road map to achieve the vision.
• Develop standards, process flows and tools that promote and facilitate the mapping of data sources, documenting interfaces and data movement across the enterprise.
• Provide architectural solutions covering data structures, sourcing, integration, security, and retention
• Define governance and best practices around meta-data to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, reusability, and consistent definitions for common reference data.
• Elicit requirements and translate the requirements into models by building conceptual, logical and physical data models.
• Involve in data roadmap, current / target state for enterprise data.
Qualifications • Bachelors Degree in Computer Science
• 12+ years experience in software development and database applications with a majority of this experience in data strategy, souring, modeling, integration, and architecture
Specific types of experience required:• Experience in data analysis, data profiling, data integration, and data quality.
• Provide framework, stewardship, governance, and decision making for the management of enterprise data for project development teams, business users and other stake-holders.
• Balance short-term versus long-term actions, strategic versus tactical requirements, while continuing to move forward towards the strategic vision; participate in the road map to achieve the vision.
• Develop standards, process flows and tools that promote and facilitate the mapping of data sources, documenting interfaces and data movement across the enterprise.
• Provide architectural solutions covering data structures, sourcing, integration, security, and retention.
• Experience in data analysis, data profiling, data integration, and data quality.
• Define governance and best practices around meta-data to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, reusability, and consistent definitions for common reference data.
• Experience in tuning DataWarehouses.
• Extensive experience in creating data warehouses, data marts, and modeling (3NF and dimensional).
• Data modeling experience creating both dimensional and relational models; ERWIN experience is preferred.
• Advanced knowledge of SQL, database performance, RDBMS, and Query tools.
Debra Mayek952-841-9510 ext. 2debra@involveit.comContact UsSubmit Resume