Cloud Data Architect

7 hours ago

Pittsburgh, Pennsylvania, United States Duquesne Light Company Full time
About Duquesne Light Company

Duquesne Light Company is a leading provider of electric energy, with a rich history of technological innovation and exceptional customer service. As a forward-thinking organization, we continue to drive the electric energy market, delivering reliable power to over half a million customers in southwestern Pennsylvania.

Job Summary

We are seeking a highly skilled Cloud Data Architect to join our team. As a key member of our organization, you will play a critical role in expanding our use of data as a strategic enabler of corporate goals and objectives.

Key Responsibilities
  • Strategy and Planning
    • Develop and deliver long-term strategic goals for data architecture vision and standards with data users, department managers, business partners, and other key stakeholders.
    • Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap.
    • Collaborate with third parties and business subject matter experts to enable company strategic imperatives that require secure and accessible data cloud capabilities or assist in curating data required to enrich models.
    • Collaborate with IT Enterprise Architecture, Enterprise Platforms, Business Intelligence, Data Engineering, Data Quality and Data Governance stakeholders to:
    • Develop processes for governing the identification, collection, and use of corporate metadata;
    • Take steps to assure metadata accuracy and validity.
    • Track data quality, completeness, redundancy, and improvement.
    • Conduct cloud consumption cost forecasting, usage requirements, proof of concepts, proof of business value, feasibility studies, and other tasks.
    • Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.
    • Ensure that data strategies and architectures are in regulatory compliance.
  • Acquisition and Deployment
    • Liaise with vendors, cloud providers and service providers to select the solutions or services that best meet company goals.
  • Operational Management
    • Develop and promote data management methodologies and standards.
    • Select and implement the appropriate tools, software, applications, and systems to support data technology goals.
    • Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.
    • Collaborate with scrum masters, project managers, and business unit leaders for all projects involving enterprise data.
    • Address data-related problems in regard to systems integration, compatibility, and multiple-platform integration.
    • Act as a leader and advocate of data management, including coaching, training, and career development to staff.
    • Develop and implement key components as needed to create testing criteria to guarantee data architecture's fidelity and performance.
    • Document the data architecture and environment to maintain a current and accurate view of the larger data picture.
    • Identify and develop opportunities for data reuse, migration, or retirement.
    • Act as a technical leader to the organization for Data Architecture and Data Engineering best practices.
    • Storm roles as appropriate to their role and skillset
    Requirements
    • Bachelor's degree in computer science, information systems, computer engineering, or relevant discipline
    • Twelve (12) or more years of experience is required.
    • Advanced degrees in a related field preferred.
    • Relevant professional certifications preferred.
    Preferred Qualifications
    • Utilities experience (oil, gas, and/or electric) strongly preferred.
    • Five (5) or more-years' work experience as a data or information architect.
    • Hands-on experience with data architecting, data mining, large-scale data modeling, cloud data storage and analytics platforms.
    • Experience with Azure, AWS or Google data capabilities.
    • Experience with Databricks, Synapse, Foundry, Power BI, and/or Snowflake preferred.
    • Experience with Enterprise platforms such as Oracle, Maximo etc preferred
    • Direct experience in implementing data solutions in the cloud.
    • Strong understanding of relational data structures, theories, principles, and practices.
    • Strong familiarity with metadata management and associated processes.
    • 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 business requirements analysis, entity relationship planning, database design, reporting structures, and so on.
    • Ability to manage data and metadata migration.
    • Experience with database platforms, including Oracle RDBMS.
    • Experience with GIS Geo-Spatial Data, time-phased PI Historian or collector data preferred.
    • Understanding of Web services (SOAP, XML, UDDI, WSDL).
    • Object-oriented programming experience (e.g. using Java, J2EE, EJB,.NET, WebSphere, etc.).
    • Excellent client/user interaction skills to determine requirements.
    • Proven project management experience.
    • Good knowledge of applicable data privacy practices and laws.
    Personal Attributes
    • Strong written and oral communication skills.
    • Strong presentation and interpersonal skills.
    • Ability to present ideas in user-friendly language.

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