Cloud Data Architect I

4 months ago

Pittsburgh, United States Duquesne Light Company Full time

Duquesne Light Company, headquartered in downtown Pittsburgh, is a leader in providing electric energy and has been in the forefront of the electric energy market, with a history rooted in technological innovation and superior customer service. Today, the company continues its role as a leader in the transmission and distribution of electric energy, providing a secure supply of reliable power to more than half a million customers in southwestern Pennsylvania. 

Duquesne Light Company is committed to creating a culture of inclusion. We value and respect the unique differences and experiences of our employees. We believe that our differences lead to better collaboration, innovation and outcomes. We want you to join our team

Location: Hybrid (two days per week in office), downtown Pittsburgh, Pennsylvania

The role of Cloud Data Architect is to expand the company’s use of data as a strategic enabler of corporate goals and objectives. The Cloud Data Architect will achieve this by strategically designing, developing, and implementing data models for data stored in enterprise systems/platforms or curated from 3rd parties and provide accessible, availability for business consumers to analyze and gain valuable insights. This individual will act as the primary advocate of data modeling best practices and lead innovation in adopting and leveraging cloud data technologies to accelerate adoption. Overtime & on-call availability as required. 

Responsibilities:  

Strategy & 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 & 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.

Education/Experience:  

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.

Knowledge & Experience  

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. 

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