IT HRIS/HRIC Solutions Data Architect

Why WWT?

At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits, and by delivering cutting-edge technology solutions for our clients.

Founded in 1990, World Wide Technology (WWT), a global technology solutions providerleading the AI and Digital Revolution, with $20 billion in annual revenue, combines the power of strategy, execution, and partnership to accelerate digital transformational outcomes for large public and private organizations around the world. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps customers and partners conceptualize, test, and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution, and integration capabilities.

• Model, design, and frame business scenarios that are meaningful and impact critical HR business processes and/or decisions.
• Collaborate with analysts, developers, data engineers, architects, data scientists, and other domain experts to match technical solutions to stated HR business problems.
• Develop experimental and analytic plans for data modeling, matching algorithms, and exploratory data science.
• Prepare accurate database design and architecture reports & diagrams for management and executive teams, specifically focusing on HR data.
• Ensure design coherence to all company and regulatory data privacy requirements.
• Ensure clarity around technical, business, and non-functional requirements for project clarity and execution. Validate deliverables and adherence to architectural design.
• Build and enhance data catalog and document data process flow details.
• Research and evaluate sources of information to determine any limitations in quality, reliability, performance, and usability.
• Maintain company data quality standards by actively evaluating data processing for accuracy, timeliness, completeness, consistency, and validity.
• Build relationships with business and development teams. Provide timely coaching and mentorship as we continue our data maturation. Communicate with key stakeholders in soliciting feedback and input on potential process improvements.

• Enjoy collaboration, with a preference for face-to-face communication.
• Be self-directed, initiative-taking, and able to work independently.
• Have an ability to thrive in a collaborative and cross-functional environment.
• Be innovative, have outside-the-box creativity, and present alternative ideas.
• Be a good active listener and communicator.
• Possesses a prominent level of Integrity and confidence.
• Ability to manage multiple tasks and change.
• Willingness to learn new skills and technologies.

• Master's degree in computer science, MIS, computer engineering, or relevant work experience required.
• Minimum of five years of experience manipulating large datasets and using relational and multidimensional databases both on-prem and in the cloud.
• A strong understanding of HR processes, including recruitment, payroll, benefits administration, incentive compensation, performance management, and compliance.
• Experience with HR data privacy and security regulations (e.g., GDPR, CCPA, HIPPA).
• Knowledge of scaling large data storage and processing, queues/pipeline-processing.
• Familiarity with basic principles of distributed computing and/or distributed databases.
• Understanding of reporting and analytical software such as Webfocus, Power BI, Tableau, Oracle EPM, Oracle Transactional Business Intelligence (OTBI), or similar tools is a plus.
• Strong understanding of Oracle modules and supporting analytics modules
• Experience with HRIS/HCM systems like ADP, Oracle, Paycor, UKG, Callidus, and Workday.
• Understanding and experience with data extraction (ETL) methodologies and tools.
• Experience with low-code or no-code solutions and platforms.
• Experience with data integration and data mapping tools.
• Experience with REST-based APIs, Data Streaming, and various data integration
• Experience collaborating with clients to solve complex problems.
• Agile or Scaled development methodologies experience is a plus.

• Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness Program
• Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
• Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement
• Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program