Specialist, Data Architecture

https://ipmc-ng.com/careers/company/ipmc
IPMC
LAGOS  -  Nigeria
756 Current Jobs Openings

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IKOYI, LAGOS, Nigeria
Job Detail
  • Industry:
    Oil and Gas
  • Total Positions:
    1
  • Job Type:
    Full Time
  • Salary:
    400,000 - 800,000
  • Job Location:
    LAGOS, Nigeria
  • Minimum Education:
    Bachelor
  • Minimum Experience:
    Fresh Year
  • Apply By:
    Dec 31, 2022
  • Job Posting Date:
    Apr 22, 2022
Job Description

Manage and develop the enterprise data hub while sourcing data from various databases/applications. Responsible for building scalable data platforms, and large-scale processing systems that enable advanced analytics and support data teams across the enterprise.
 
Responsible for designing, creating, deploying and managing data solutions to enable analytics and reporting for all Information Management user community and other Group companies. Responsibilities include solution architecture and implementation of database and projects in a team environment, as well as developing and implementing data architecture standards for the organization. Leads design for relational and no-SQL databases following industry best practice.

Job Specific Accountabilities
Analyze information flow and recommend appropriate technology to provide support to all business processes.
Coordinate with project supervisors and business heads and manages all projects regarding enterprise data.
Design and provide support to all data management methodologies according to required standards.
Determine procedure to identify and collect all required data, validate process and recommend improvements to corporate data.
Coordinate with clients, data users and key stakeholders and develop and achieve various long term objectives for data architecture.
Collaborate with new and existing external vendors and provide support to all objectives and assist to create various data architecture.
Interact with key decision makers to understand business needs, design use cases and determine a path to delivery.
Establishing architectural approaches and patterns that incorporate modernizing data governance, metadata management and data quality.
Responsible for providing the business strategy insight into the development and deployment of key metrics and for business intelligence solution delivery.
Responsible for ensuring that key performance metrics are deployed in accordance with global standards established for metric deployment; interacts with the governance process for new metric deployment and development.
Responsible for gathering, consolidating, and communicating the data related aspects of analytic or information business requirements from the Subject Matter Experts (SMEs).
Provide expertise in the establishment and implementation of effective data design principles in a Big Data environment
Collaborate with the IT architecture teams to ensure that the data management principles and strategic assumptions are enabling the metric deployment and aligned with the IT strategy
Determine the proper deployment strategy and sequence of data standards, data models, system designs and metrics
Lead and facilitate the capture business and technical requirements and defines target solution design
Responsible for ensuring that the operational landscape for master data enables the business processes and aligns with the vision of global master data
Develop data models and database designs, across all phases of data modeling from conceptualization to database optimization. Where appropriate, incorporate emerging technologies like columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.
Responsible for designing, building & managing the advanced analytics platform to support Information Management user community and ensures high quality level of professional experience is being provided to cover the required support.
Leads Big Data and batch/real-time analytical solutions leveraging transformational technologies.
Ensures all automated processes preserve data by managing the alignment of data availability and integration processes.
Provide support to technical users (Upstream end users) of current system for the provision of required data. Defines data integration requirements/procedures with other Group companies' systems.
Build and operate stable, scalable and highly performant data pipelines that cleanse, structure and integrate disparate big data sets into a readable and accessible format for end user analyses and targeting.
Provides first-line applications support to the Upstream engineers' community. Reports and escalates major application failures and bugs to vendors, and follows it up until they are fixed.
Provide specialized database support services and coordinate the activities in the formulation and implementation of an integrated solution and data management strategy.
Enhance information visualization through development of dashboards and user interfaces
Provide recommendations to management and business stakeholders on how to integrate requirements with current systems and business processes across regions or domains.
Identify and validate value gaps and opportunities for process enhancements or efficiencies.
Support solution design by providing insight at design sessions with IT teams to help translate requirements into workable business solutions.
Identify and recommend additional data and/or services needed to address key business issues related to process or solutions design.
Supervision
Plan, supervise and coordinate all activities in the assigned area to meet functional objectives.
Train and develop the assigned staff on relevant skills to enable them to become proficient on the job and deliver the respective team objectives.
Innovation and Continuous Improvement
Design and implement new tools and techniques to improve the quality and efficiency of operational processes.
Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with ISO standards in order to define intelligent solutions for issues confronting the function.

Minimum Qualification
Bachelors' Degree in Computer Science, Data Science and Information Technology, business analytics, artificial intelligence or its equivalent.
Minimum Experience & Knowledge & Skills
Minimum 10 years' experience in database management including database modeling.
Good technical presentations skills.

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