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The Data Architect expands the college’s use of data as a strategic enabler of the College’s goals and objectives by strategically designing, developing, and implementing data models for enterprise-level applications and systems which shall be architected at the following layers: conceptual, logical, business area, and application. The Data Architect is the primary advocate of data modeling methodologies and data processing best practices and is also responsible for teaching data analysts and software engineers how to work effectively with vast quantities of data.

The Data Architect generates and compiles system reports based on the issues findings, probable causes and possible solutions; and applies proven communication, analytical, and problem-solving skills to maximize the benefit of IT system investments.

ORGANIZATIONAL RELATIONSHIPS

Responsible to the Director of Applications and has a support responsibility to all other departments and college personnel as necessary.

Works closely with the Senior Director of Institutional Research and Effectiveness to ensure consistent data and best practices.

SPECIFIC DUTIES AND 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.
• Meet with decision makers, systems owners, and end users to define business, financial, and operations requirements and systems goals, and identify and resolve systems issues.
• 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 college metadata; take steps to assure metadata accuracy and validity.
• Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.
• Assist in the development of data management policies and procedures.
• Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
• Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.
• Ensure that data strategies and architectures are in regulatory compliance.

Acquisition & Deployment

• Conduct research and make recommendations on big data infrastructure, database technologies, analytics tools, services, protocols, and standards in support of procurement and development efforts.
• Drive the collection of new data and the refinement of existing data sources.
• Ensure the success of enterprise-level application rollouts (e.g. ERP, CRM, etc.)
• Liaise with vendors and service providers to select the products or services that best meet college goals.

Operational Management

• Prepare and deliver reports, recommendations, or alternatives that address existing and potential trouble areas in operating systems and applications across the organization.
• Address data-related problems regarding systems integration, compatibility, and multiple-platform integration.
• Assess and determine governance, stewardship, and frameworks for managing data across the organization.
• Develop and promote data management methodologies and standards.
• Select and implement the appropriate tools, software, applications, and systems to support data technology goals.
• Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.
• Develop tools and libraries that will help application team members more efficiently interface with huge amounts of data.
• Develop, implement, and maintain change control and testing processes for modifications to algorithms and data analytics.
• Collaborate with database and disaster recovery administrators to ensure effective protection and integrity of data assets.
• Collaborate with project managers and business unit leaders for all projects involving enterprise data.
• Act as a leader and advocate of data management, including coaching, training, and career development to employees.
• Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture.
• Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture.
• Identify and develop opportunities for data reuse, migration, or retirement.
• Perform all responsibilities in a manner that fully complies with Palmer’s Equal Employment Opportunity/Affirmative Action policy.
• Perform other duties as assigned.

Qualifications

EDUCATION AND EXPERIENCE

Bachelor’s degree in Computer Science, Business, Information Systems or related field.

5 years of direct experience in software development and/or programming design and systems management and/or 5 years working with enterprise database technology or database languages such as SQL, NoSQL, PowerBI.

Five additional years of significant, related experience and/or training may be considered in lieu of education.

KNOWLEDGE, SKILLS, AND ABILITIES

Demonstrable Knowledge and Understanding of, and Experience with:

• Data architecture, data mining, large-scale data modeling, and business requirements gathering/analysis;
• Implementing enterprise data management processes, procedures, and decision support;
• Relational data structures, theories, principles, and practices;
• Metadata management and associated processes;
• Enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools;
• Repository creation, and data and information system life cycle methodologies;
• Business requirements analysis, entity relationship planning, database design and reporting structures;
• At least one scripting languages fluency such as Python, Perl, PowerShell, etc.;
• SQL and/or NoSQL databases;
• Map/reduce framework (hive/pig other tools for accessing data in Hadoop/HBase cluster systems);
• Programming with .NET, JAVA, C, etc.; and
• Project management and applicable data privacy practices and laws.

Skills:

• A strong passion for empirical research and for answering hard questions with data.
• A flexible analytic approach that allows for results at varying levels of precision.
• Strong technical documentation skills.
• Highly self-motivated and directed
• Highly developed analytical, organizational and time management skills to work in a collaborative, team-oriented environment;
• Well developed public speaking and conflict resolution skills.
• Strong customer service orientation.

Ability to:

• Quickly gain good understanding of the organization’s goals and objectives;
• Manage data and metadata migration;
• Extensively, frequently and competently use computers, related application software programs, other necessary IT equipment and general office equipment;
• Use the computer keyboard and screen to type and read pertinent information, while also adjusting to screen distance and depth perception;
• Receive, express and determine accuracy of detailed information that is transmitted visually and verbally;
• Communicate effectively with administrators and staff in writing and orally to hear, read, receive, express and determine accuracy of detailed information;
• Effectively prioritize and execute tasks in a high pressure environment and perform multiple assigned duties with time pressures and frequent interruptions;
• Work independently and autonomously and concentrate for extended periods of time;
• Analyze and resolve difficult problems; and
• Work various hours, including weekends and evenings as job requires.

PHYSICAL REQUIREMENTS AND WORK ENVIRONMENT

• Perform sedentary to light work in a ventilated, lighted, and temperature-controlled office setting.
• Frequent need to stand, stoop, walk, sit, lift light objects (up to 10 pounds) and perform other similar actions during the workday.

M*ust apply on company website*

https://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDetails?job=54168&clientkey=8BAFC5797941BD3723C4CD01E59B0139

Job Type: Full-time

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Vision insurance

Work Location: One location

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