Principal Data Architect

3 days ago

Gisborne, Gisborne, New Zealand Vista Equity Partners Management, LLC Full time

Do you have hands-on experience with data architecting, mining or large-scale data modeling? Are you familiar with metadata management and associated processes? We're looking for an expert communicator with a strong customer orientation and object-oriented programming experience to join our Infrastructure Shared Services team as a Data Architect. In this role, you'll design, develop and implement data models and warehouses for our internal applications and system. Additionally, you will provide architectural assessments, strategies and roadmaps; verify performance, fault tolerance and security. If you're craving an exciting new opportunity where you can partner with project managers and other business leaders to facilitate projects that make good use of your data insights, let's chat iCIMS extends a work culture unlike any other East Coast-based technology provider. We focus on hiring candidates who display our seven core competencies: passion, drive, transparency, adaptability, empathy, kaizen and customer commitment.

Responsibilities
  • Develops and delivers long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders.
    Creates short-term tactical solutions to achieve long-term objectives and an overall data management roadmap relating to iCIMS' datawarehouse, iRIS.
  • Establishes methods and procedures for tracking data quality, completeness, redundancy, and improvement.
  • Creates strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.
  • Develops and promotes data management methodologies and standards.
  • Selects and implements the appropriate tools, software, applications, and systems to support data technology goals.
  • Oversees the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.
  • Collaborates with project managers and business unit leaders for all projects involving enterprise data.
  • Addresses data-related problems in regards to systems integration, compatibility, and multiple-platform integration.
  • Acts as a leader and advocate of data management, including coaching, training, and career development to staff.
  • Develops and implements key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture.
  • Documents the data architecture and environment to maintain a current and accurate view of the larger data picture.
  • Consistently ensures that business is conducted with integrity at all times and that behavior aligns with iCIMS' policies, procedures, and core competencies.
Qualifications
  • A minimum of 8 years of progressive work experience in data engineering required with hands-on experience in data architecture, master data management, data mining, and large-scale data modeling.
  • Direct experience in implementing data management processes, procedures, and decision support required.
  • Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools.
  • Demonstrated expertise with repository creation, and data and information system life cycle methodologies. Experience with data processing flowcharting techniques.
  • Ability to manage data and metadata migration.
  • Understanding of Web services (SOAP, XML, UDDI, WSDL).
  • Object oriented programming experience required.
  • Experience in Azure Data Warehousing, Azure Data Lake, AWS, or similar ETL tools required; Azure preferred.
  • Experience with database platforms, including Salesforce, SQL, SharePoint and ERP and/or HRIS systems preferred.
  • Experience in defining, classifying, and maintenance of MDM across an evolving set of SaaS interfaces.
  • Experience in SFDC, NetSuite, Adaptive, Concur APIs preferred.
  • Strong comprehension of SDLC.
  • Excellent client/user interaction skills to determine requirements.
  • Strong customer orientation focus and success in creating a superior customer experience.
  • Good knowledge of applicable data privacy practices and laws.
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