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Data Architect Job Opening In Honolulu – Now Hiring HMSA


Job description

Job Summary

**Hybrid Work Environment - Must reside in Hawaii ** The Data Architect is accountable for maintaining a holistic view and roadmap of interconnected technologies across the organization.

This position participates in regular communication with other functional groups and business units including cross-functional support for IS teams including, but not limited to, data center environment, IT networks, unified communications, desktop support team, and cloud enablement team.

Minimum Qualifications

  • Bachelor's degree in related field such as Information Technology or Information Systems and four (4) years of IT architecture and design experience; or an equivalent combination of education and related experience.

    May substitute for a higher level degree in related technical/business area for less work experience.
  • Two (2) years of experience working on the architecture of cloud environments.
  • Five (5) years of experience in at least two of the following IT solution development disciplines; information system design, hands-on experience implementing data and analytics management programs, experience as a data analyst, cloud data management, business domain data/content and process understanding, system integration experience including interface design and web-oriented architectures, data modeling and information classification expertise at the enterprise level.
  • Knowledge of common information architecture frameworks and information models.
  • Duties and Responsibilities

    Responsibilities include, but are not limited to the following:
  • Influence information strategy: By partnering with business unit leadership, and through the rationalization of the information value chain, the information architect will provide strategic recommendations to maximize the value of information assets via their creation, access and use.
  • Maximize value derived from data and analytics: Foster value creation using the organization's data assets, as well as the external data ecosystem.

    This includes aiding value creation through data exploitation, envisioning data-enabled strategies, as well as enabling all forms of business outcomes through analytics, data and analytics governance, and enterprise information policy.
  • Surface information priority: Assess the benefits and the risks of information by using tools such as business capability models to create an information-centric view to quickly visualize what information matters most to the organization based on the defined business strategy.
  • Enhance decision making: Use tools such as business information models to provide the organization with a future-state view of the information landscape that is unencumbered by the specific data implementation details imposed by proprietary solutions or technologies.

    Assist decision design.
  • Enable effective data and analytics governance: Suggest who can take what actions with what information, and under what circumstances.

    Assist data and analytics leaders, and business and IT leadership in developing information governance processes and structures.
  • Conduct business information modeling: Create and manage business information models in all their forms, including conceptual models, relational database designs, message models and others.
  • Manage risk: Aid the definition of data classifications and data zoning to allow information assets to be immediately identified and proactively managed as more information becomes federated in a digital economy.
  • Enable enterprise information management: Ensure that the architecture is used as a lens and a filter to identify, prioritize and execute the data and analytic initiatives with clear line of sight to enterprise strategies and business outcomes.
  • Secure data and analytic assets: Aid in the analysis of data and analytics security requirements and solutions, and work with the chief information security officer (CISO) to ensure that enterprise data and analytics assets are treated as protected assets.
  • Improve enterprise information management performance: Aid efforts to improve business performance through enterprise information solutions and capabilities, such as master data management (MDM), metadata management, analytics, content management, data integration, and related information management or information infrastructure components.
  • Collaborate with data and analytics leaders, data science and analytics specialists, information management staff, solution developers and business domain stakeholders, such as information managers, data stewards and business analysts.
  • Provides consulting support within projects to ensure architectural alignment.
  • Establishes relationships with business partners and the IT organization in order to provide data solutions to meet user needs and influence strategic initiatives.
  • Understands and keeps up to date with technology trends to enable evolving business and operation models.
  • Identifies and maps governance activities required to support regulatory compliance, and architecture assurance.
  • Ensures alignment of business roadmaps from current to future state technology roadmaps.
  • Maintains documentation of design and architecture analysis work.
  • #LI-Hybrid

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Data Architect Potential: Insight & Career Growth Guide


    Real-time Data Architect Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Architect in Honolulu, United States, highlighting market share and opportunities for professionals in Data Architect roles.

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    Are You Looking for Data Architect Job?

    Great news! is currently hiring and seeking a Data Architect to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at HMSA adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for Data Architect Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Honolulu. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Data Architect?

    Key qualifications for Data Architect typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

    How Can I Improve My Chances of Getting Hired for Data Architect?

    To improve your chances of getting hired for Data Architect, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    Interview Tips for Data Architect Job Success

    HMSA interview tips for Data Architect

    Here are some tips to help you prepare for and ace your Data Architect job interview:

    Before the Interview:

    Research: Learn about the HMSA's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Data Architect interview at HMSA, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the HMSA's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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