DPSA Vacancies – DPSA Cape town Jobs Vacancies 2021

DPSA Vacancies 2021- DPSA Jobs in South Africa 2021. Find here Latest South Africa Jobs in DPSA . DPSA South Africa Jobs Vacancies 2021. Government Jobs in South Africa. South Africa Government Jobs Opportunity in South Africa. Upcoming Federal Government Jobs.

Jobs seekers who are looking for DPSA Jobs in South Africa can get here latest South Africa Job Opening through DPSA Vacancies Sites. We are updating this page for latest DPSA Jobs in South Africa. You can see below current DPSA South Africa Jobs 2021 with all required eligibility.

Visit Here :- Latest State Wise DPSA Jobs Vacancies 2021

Latest DPSA Jobs Vacancies 2021

DPSA Vacancies 2021- DPSA Jobs in South Africa

latest South Africa Job Opening through DPSA Vacancies:- DPSA South Africa currently published a job notification on  DPSA South Africa Jobs site. Candidates who are eligible for DPSA Jobs 2021. They can fill their online application the Data Architect  jobs available now. Candidates who are Bachelor’s degree B Sc. can apply for this Data Architect jobs in South Africa.

For more details about DPSA South Africa Jobs 2021 you can check below. Candidates should advised that they should check official notification before applying. This information taken from official site of DPSA . We are not responsible for any error or mistake.

DPSA South Africa Jobs Opening 2021 Summary

Name of Recruiter DPSA
Name of Job Position Data Architect
Job Location Cape Town
Jobs Type Fresher Jobs in South Africa
Application Deadline Not Applicable
Salary R1000.00 Per Month.

Job Specification…

  • Job Objectives:

    Define and continuously improve the information and data architecture framework and modelling standards:

    ·         Define a structured Information and Data architecture approach and methodology for capturing the key views of the enterprise.

    ·         Align the information and data architecture framework in support of the enterprise and regulatory information governance needs such as Information Security, Enterprise Information Management, POPI, PCI

    ·         Identify, define, and communicate standards, guidelines, formats, meta-models, policies, best practices, and governance practices for Information and Data architectures and designs.

    ·         Ensure that the Information and Data architecture approach integrates into the methodologies and processes of the rest of the Enterprise Architecture team.

    ·         Define and create enterprise-level information and data architecture models that enable and facilitate analysis and clarity of the business strategy, goals, and priorities:

    ·         Define the enterprise data architecture vision and strategy and roadmaps to implement the strategy.

    ·         Identify common information and data that is shared across the enterprise and participate in the enterprise-wide efforts to reach common understanding of those information and data concepts and ownership.

    ·         Create standard enterprise reference architecture models for common information and data (Information Reference Model, Data Reference Model, and Integration Reference Model).

    ·         Develop current and desired future states of Information and Data assets to aid the organization in achieving its strategic goals. This covers concepts such as an Enterprise Canonical Data Model, Master Data Management, Operational Data Stores, Data Warehouses, Relational Databases, data flow diagrams, data integration patterns, data dictionaries, key data usage patterns.

    ·         Define enterprise-level data flows and data lifecycles in support of key retail business processes.

    ·         Perform gap analysis on current and desired future states and make recommendations regarding improvement opportunities to better accomplish the business’ objectives or to meet new challenges.

    ·         Collaborate with the Business and Application architects and Information and Data management stakeholders to ensure overall alignment of the Information & Data Architecture with their requirements.

    Define and create solution level information and data architecture models that enable specific business requirements:

    ·         Analyse the inputs and outputs of the business process and create related Information and Data architectures and designs for the baseline (“as is”) and target (“to be”) solution architectures.

    ·         Define the business information flows and data lifecycles related to business processes.

    ·         Define the data entities and data integration requirements for data that is shared across applications.

    ·         Identify misalignment between data models of new systems and existing data models and manage any impact on the existing data models in the related implementation projects.

    ·         Coordinate with system analysts, development teams, and DBAs to ensure the creation of physical database and optimal implementation of the data models/database design.

    Ensure the integrity and quality of information and data architecture outputs by executing the required governance and quality control within IT and business:

    ·         Define information and data architecture governance processes and quality compliance criteria.

    ·         Perform quality assurance checks on Information and Data Architectures and Designs and enforce quality compliance criteria to set policies and standards.

    ·         Perform quality checks on existing Information and Data Architectures and Designs to identify potential business risks area and make re-engineering recommendations.

    ·         Ensure Information and Data security conforms to Information Security Governance policies and standards.

    ·         Ensure that applications and IT projects align with Enterprise Data architecture standards.

    ·         Participate in assist architecture review board assesses architectures for conformance.

    ·         Maintain and administer the Information and Data Architectures in the Enterprise Architecture repository and ensure that its content is effectively organized and controlled to maintain consistency of architecture artifacts.

    ·         Educate stakeholders and provide subject matter expertise in the use of information and data architecture methodologies, standards, and tools to all stakeholders.

    ·         Provide technical leadership for developing and maintaining the Information and Data architecture for the enterprise.

Minimum Requirements…

  • Minimum Skills, Experience, Education:·          Degree in Information Systems / B Sc. Comp. Science (or similar)·         10 years IT industry experience·         5 years Leadership role in an Information and Data analysis environment·         5 + years’ experience with IT projects from an Information and Data architecture and design perspective (SDLC)·         2 – 3 years Demonstrable knowledge of Information and Data Architectures and familiarity with various architecture viewpoints (business, applications, data, and technology architectures) is required.·         5 + years Proven experience creating enterprise information and data models incorporating all layers of enterprise data architecture (Canonical modelling, TDS, ODS, EDW, Data Marts, Business Intelligence, Data Quality, Meta-data, Master Data, Reference Data, Data Access and provisioning, Data Security, Data Governance, SOA) and a thorough knowledge of the data requirements of these systems.·         2 – 3 years’ experience in solution architectures, system analysis, and design, data modelling, and application development methodologies·         Delivery of Information and Data requirements for business blueprints.·         10 years proven experience in transactional data modelling (Normalisation), dimensional modelling (Star & Snowflake Schema), and object-oriented modelling.·         3+ years’ experience in implementing, using, and administering EA tools and EA meta-model definition (ARIS Preferable/ or Sparx Enterprise Architect)·         5 + years logical and physical data modelling with data modelling tools and database design in complex, large-scale data environments·         3+ years Strong leadership skills to indirectly manage cross-functional teams toward common solutions.·         5+ years Retail industry experience·         Knowledge related to the relevant areas of experience.

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