Job Description :
Position Overview:
The client has several new initiatives underway and have a need to insure that the applications are adhering to data standards and are fully integrated between these systems and any gaps are identified. Client is seeking a seasoned Data Architect who will be reviewing, designing, developing, and implementing data models for enterprise-level applications and systems.
The candidate must have experience in data warehouse models in addition to OLTP models, these models shall be architected at the following layers: conceptual, logical, physical, subject area, and application.
Under general supervision, the Data Architect shall provide strategic level technical leadership for the data architecture and must be able to perform hands on analysis and modeling.
He or she must clearly understand business objectives, translate them into data models and communicate these data models to business and technical stakeholders verbally, in writing, and electronically. He or she needs to be able to understand the different standards in the Education domain CEDS, ED-FI, SIF, models and provide guidance to technical staff, project managers and insure vendors adhere to the standards.
Through the development of reliable and stable data models, master data management, metadata management, and data quality assurance initiatives, the Data Architect will oversee the technical design of the Enterprise Data Architecture. He or she will define data modeling methodologies, standards, and tools. In collaboration with other stakeholders, the Data Architect shall define data interface and messaging standards for systems to integrate systems internally and externally.
Responsibilities:
Strategy & Planning
Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders
Assess and determine governance, stewardship, and frameworks for managing data across the organization
Oversight of design implementation, providing assurance that key requirements are preserved and those gaps are understood and communicated to stakeholders as appropriate.
Ensures design governance across projects, applications and infrastructure.
Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap
Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity
Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement
Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
Ensure that data strategies and architectures are in regulatory compliance
Ensure the success of enterprise-level application rollouts (e.g., P20 data warehouse, Common Core standards, etc from the data architecture, standards, and quality perspective
Operational Management
Develop and promote data management methodologies and standards
Select and implement the appropriate methodologies, standards, tools, software, applications, and systems to support data technology goals
“Hands on” responsible for the implementation of the conceptual, logical and physical models using tools.
Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality
Address data-related problems in