Position: Architect Enterprise Information Management MDM
Company: Intellias
Experience required: 5y
English level: upper

Project Overview:

Our customer is the world’s leading provider of technology for reservoir characterization, drilling, production, and processing to a global energy industry.

Your scope of work will be enhancing the domain-driven ecosystem that automates and optimizes E&P performance. You will join a rich network of global collaborators with a shared vision for solving the industry’s technology challenges. enabling digital capabilities that enhance efficiency across technology development, manufacturing and lifecycle management. Teams, working on the projects transform the cloud, big data, user experience, and cybersecurity into E&P solutions that move the needle for our end-customers. They leverage the power and storage elasticity of the cloud, the efficiency of high-performance computing, and the connectivity of the Industrial Internet of Things (IIoT) to create technologies tailored to each domain’s biggest challenges. To close the feedback loop, we deploy digitally enabled equipment that monitors health, automates processes, and optimizes performance for each location's environment and geography.

These next-level innovations are only possible when data and expertise are combined to craft domain-driven digital solutions.

The EIM MDM Architect will assists the EIM MDM Manager in designing and enhancing the data quality component of the Enterprise Solution Architecture. The position will collaborate with other EIM pillars (Delivery, Integration Governance and Operations and Services) to understand data quality requirements. 

Essential Responsibilities and Duties: 

    Participates along with other EIM MDM Architects in the development of the enterprise MDM data model;
    Configures Informatica Data Quality (IDQ) tools to perform as required by data quality designs;
    Collaborates with data owners and business analysts to:
        Teach data profiling methods;
        Enable advanced data profiling utilizing IDQ;
        Derive functional requirements from data trends;
        Develop data quality scorecards;
    Evaluates and recommends new and emerging data quality technologies, methodologies and standards;
    Ensures consistency and compatibility with all other system technology components;
    Utilizes a business process modeling tool to develop "blueprints" for the Conceptual Data Model of the EIM data quality architecture;
    Implements data quality standards that includes naming standards, data quality indicators, data categorization, ETL attribute usage, data consistency and reuse;
    Reviews and validates data quality metrics with stakeholders and subject matter experts.

Experience:

    Excellent written communication and meeting facilitation skills;
    Bachelor’s degree in Computer/Data Science or equivalent experience;
    8+ years of project lead;
    5+ years of experience in data strategy;
    5+ years of work stream development;
    5+ years of business process management;
    Experience with Agile development methodologies and concepts required.

Nice to Have:

    Common Oilfield Operation procedures and the processes and procedures utilized to carry out Business Systems;
    MBA preferred (or relevant experience).

Key Competencies:

Upon entry, basic level of understanding in:

    Requirements analysis;
    Data requirements;
    Data quality and compliance;
    Data management principles;
    Business process management;
    Data stewardship, strategy and governance;
    Data factory capabilities;
    Data warehousing and business intelligence support.

Behavior:    

    Excellent communication skills;
    Excellent teaming skills;
    Organized analytical thinker;
    Conscious of data quality;
    Creative and innovative;
    Customer focused.