Data Architect

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<p style="margin: 0"><strong>JOB GOAL</strong></p><p style="margin: 0"> </p><p style="margin: 0"><span style="color: rgba(0, 0, 0, 1)">Responsible for the College’s data architecture including logical diagrams, database location, overall content and dictionary of data sets in order to help provide usable reports, queries, joins, archiving and warehousing, and to assist in aspects of data governance for all institutional data. <strong>            </strong></span></p><p style="margin: 0"> </p><p style="margin: 0"><strong>ESSENTIAL DUTIES AND RESPONSIBILITIES</strong></p><ol style="list-style-type: decimal"><li><span style="color: rgba(0, 0, 0, 1)">Responsible for creating a high-level data architecture including creating organized visuals for data organization and location, including acquisition, staging, storage, archival / retention, redundancy and master data sets. </span></li><li><span style="color: rgba(0, 0, 0, 1)">Collaborates with peers in the Technology Division and Enterprise Applications team as well as the CIO, IT Strategic vendors and partners, Information Security and the Integration/Infrastructure leaders to maintain repositories for representing the data elements including the entities, relationships and attributes, the information flows, and College data dictionary.</span></li><li><span style="color: rgba(0, 0, 0, 1)">Designs the structure and security for data organization including databases, warehouses, and lakes.</span></li><li><span style="color: rgba(0, 0, 0, 1)">Defines data schemas, optimizing data storage, and establishing data access controls and security measures.</span></li><li><span style="color: rgba(0, 0, 0, 1)">Translates high-level business requirements into data needs, conversions, usable relational and big data, data models and appropriate test data and data quality standards.</span></li><li><span style="color: rgba(0, 0, 0, 1)">Leads and participates in the peer review and quality assurance of project architectural artifacts across the data architecture functions.</span></li><li><span style="color: rgba(0, 0, 0, 1)">Defines and manages standards, guidelines, and processes to ensure the highest levels of data quality and data security.</span></li><li><span style="color: rgba(0, 0, 0, 1)">Evaluates and recommends emerging technologies for data management, storage, and analytics</span></li><li><span style="color: rgba(0, 0, 0, 1)">Designs master data elements with a focus on interoperability across data assets to deliver transformative insights.</span></li><li><span style="color: rgba(0, 0, 0, 1)">Supports development and maintenance activities to ensure they are in-line with the enterprise architecture data models and roadmap defined therein.  </span></li><li><span style="color: rgba(0, 0, 0, 1)">Encourages a data citizenship mindset, ensuring we all collectively take responsibility and accountability for the data we create, consume, manage and share.</span></li><li><span style="color: rgba(0, 0, 0, 1)">Summarizes and communicates the concepts of enterprise data and data architecture to stakeholders with various levels of comprehension.</span></li><li><span style="color: rgba(0, 0, 0, 1)">Assists with technology equipment set up as needed.</span></li><li><span style="color: rgba(0, 0, 0, 1)">Performs other duties as assigned.</span><span style="color: rgba(0, 0, 0, 1)"> </span></li></ol><p style="margin: 0"><strong>MINIMUM REQUIREMENTS</strong></p><p style="margin: 0; text-align: left"><em>These requirements are a representation of the types of duties and responsibilities that will be required of positions given this title and shall not be construed as an exhaustive list of specific duties and responsibilities.  Management may direct employees to perform job-related tasks other than those specifically presented in this description.  </em></p><p style="margin: 0"> </p><p style="margin: 0"><strong>EDUCATION REQUIREMENTS / QUALIFICATIONS</strong></p><ul><li><div style="margin-top: 0; margin-right: 0; margin-bottom: 0">Associate degree from a regionally accredited institution. Two years of direct experience (Computer Science, Information Science, etc.) may substitute this requirement. </div></li></ul><p style="margin: 0 0 0 1in"><strong>OR</strong></p><ul><li><div style="margin-top: 0; margin-right: 0; margin-bottom: 0">Four (4) years of related work experience and PMP certification or PM education certificate may be substituted for Associate degree.</div></li></ul><p style="margin: 0"><strong>KNOWLEDGE, SKILLS, & ABILITIES</strong></p><ul style="margin-bottom: 0; margin-top: 0" type="disc"><li style="margin: 0; color: rgba(0, 0, 0, 1)">Experience in Higher Education especially data warehouses and lakes, ERP applications and education technology</li><li style="margin: 0; color: rgba(0, 0, 0, 1)">Data management, architecture skills and diagramming</li><li style="margin: 0; color: rgba(0, 0, 0, 1)">Vendor Relationship Management </li><li style="margin: 0; color: rgba(0, 0, 0, 1)">Motivated Self Starter</li><li style="margin: 0; color: rgba(0, 0, 0, 1)">Team oriented and Collaboration abilities</li><li style="margin: 0; color: rgba(0, 0, 0, 1)">Excellent communication skills including technical writing and verbal communication </li><li style="margin: 0; color: rgba(0, 0, 0, 1)">Ability to work independently with minimal supervision and as a team member</li><li style="margin: 0; color: rgba(0, 0, 0, 1)">Ability to work occasional evening hours and weekends</li><li style="margin: 0; color: rgba(0, 0, 0, 1)">Ability to maintain a valid Florida driver’s license </li><li style="margin: 0; color: rgba(0, 0, 0, 1)">Ability to maintain reliable transportation for travel between College locations</li><li style="margin: 0; color: rgba(0, 0, 0, 1)">Ability to pass a satisfactory back x-ray with the ability to lift 40 lbs.</li><li style="margin: 0; color: rgba(0, 0, 0, 1)">Ability to obtain a satisfactory criminal history background check</li></ul><p style="margin: 0"> </p><p style="margin: 0"><strong>CERTIFICATES, LICENSES, & REGISTRATIONS</strong></p><div style="margin: 0"><ul style="margin-bottom: 0; list-style-type: disc; margin-left: 0"><li style="margin: 0">None</li></ul></div><p style="margin: 0"><strong> </strong></p><p style="margin: 0"><strong>SUPERVISORY RESPONSIBILITIES</strong></p><div style="margin: 0"><ul style="margin-bottom: 0; list-style-type: disc; margin-left: 0"><li style="margin: 0">None</li></ul></div><p style="margin: 0 0 0 0.5in; color: rgba(0, 0, 0, 1); text-align: justify"> </p><p style="margin: 0"><strong>PREFERRED QUALIFICATIONS</strong></p><div style="margin: 0"><ul style="margin-bottom: 0; list-style-type: disc; margin-left: 0"><li style="margin: 0">Data Science familiarity</li><li style="margin: 0">Data conversion and ETL familiarity </li></ul></div>Open until filled<p style="margin: 0; color: inherit; font-style: normal; text-indent: 0; text-align: justify">All required application material must be uploaded via the online application system. The application materials required are: </p><p style="margin: 0; color: inherit; font-style: normal; text-indent: 0; text-align: justify"> </p><p style="margin: 0; color: inherit; font-style: normal; text-indent: 0; text-align: justify">1. Cover letter </p><p style="margin: 0; color: inherit; font-style: normal; text-indent: 0; text-align: justify">2. Current resume </p><p style="margin: 0; color: inherit; font-style: normal; text-indent: 0; text-align: justify">3. Copy of transcripts </p><span style="color: inherit; font-style: normal; text-indent: 0">4. Proof of eligibility, if claiming a right of Veteran’s Preference (DD-214 and/or any additional supporting documentation, as required) *</span><p style="margin: 0; color: inherit; font-style: normal; text-indent: 0; text-align: justify"> </p><p style="margin: 0; color: inherit; font-style: normal; text-indent: 0; text-align: justify">No other submitted materials will qualify you to be considered for this position. The application review process may be initiated with unofficial transcripts; however, official transcripts must be received during the initial term of hire. Applications with incomplete or incorrect documents will not be considered. </p>

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