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Oakland

    Principal Data Solutions Architect - Oakland, CA, United States - PG&E Corporation

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    Full time
    Description

    Job Category:
    Information Technology


    Business Unit:
    Information Technology

    The Data Solutions Architecture Team at Pacific Gas & Electric Company is responsible for driving long-term, enterprise-wide data solutions, target state architecture, and overall excellence with the application of data, analytics and information to critical business challenges and opportunities.

    This team is chartered to develop the strategy, roadmap, and accompanying standards that will enable better use of data and information and to develop analytics maturity at PG&E.


    The Digital Utility runs on data and information.

    PG&E believes that one of the most critical drivers of our future success depends on our ability to extract insights and information from the data we manage.

    The Principal Solution Architect fills a critical role in PG&E's success building the Digital Utility.

    The Principal Solution Architect will contribute to the Enterprise Data & Analytics Strategy and Roadmap and will develop innovative, cost-effective approaches to solve business problems through the use of technology and best practices.

    In this role, you will help to socialize the strategy with business and technology stakeholders to ensure that it continues to meet enterprise needs.

    You will develop architectural guidance documents, mentor and train other architects and project team members, and institute and operate practices that will ensure that the strategy is fully understood and provides direction to business and IT activities.

    As an Enterprise Data Solution Architect, you will have a direct impact on the day-to-day life of data solutions, delivery, and affect the Safety of California.

    You will be collaborating with other technical leaders and Executive Leadership to define standards and boundaries of how data works and operates for the Enterprise.

    As a Solution Architect, you will have a supportive manager, collaborative team, and have the ability to be ground breaking, forward thinking, and revolutionize the way PG&E thinks and be a critical role in revolutionizing solutions that are industry changing as we are one of the most advanced Digital Utility.

    The Principal Solutions Architect will report to the Senior Manager of Data Solutions Architecture in the Data Analytics & Insights department of Information Technology.


    This position is hybrid, working from your remote office and your assigned location based on business need.

    PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting.

    Own the Information Architecture and related Technical Architecture for one or more sub-domains of the Data & Information Architecture domain.

    ~ Understand and document the business capabilities needed to deliver on the mission of the Data & Information Architecture Team.
    ~ Ensure that IT and business stakeholders understand and adhere to architectural guidance, standards, policies, and practices for your domains.
    ~ Develop and maintain architectural guidance documents and artifacts, practices and procedures, and governance to support the above.
    ~ Support technology strategy, planning, and road mapping activities across IT and at the enterprise level.
    ~ Participate in the development of IT strategy and the identification and design of IT architectures to support the business architecture and the business strategies.
    ~ Root Cause Analysis and Investigation: Lead investigations into repetitive damage and failure rates, utilizing root cause analysis techniques


    Reliability and Capital Planning:
    Participate in annual and long-term reliability planning, ensuring alignment with operational objectives. Contribute to the development and execution of life cycle asset management processes.
    ~ Technical Support and Collaboration:
    Provide applications engineering support to product teams. Collaborate with product teams, support teams, and customers on shared goals, cross-team projects, and new initiatives.
    ~ Performance Monitoring and Improvement:
    Monitor, measure, and enhance the performance and state-awareness of systems. Identify and drive improvements in infrastructure and system reliability, performance, and monitoring.
    ~ Data Analysis and

    Predictive Modeling:
    Perform statistical data analysis. Utilize data insights for capacity planning, demand forecasting, and identifying performance bottlenecks.
    ~ 7 or more years of relevant work experience in Information Technology, Data Management, Business Intelligence, and Analytics

    BA/BS in Computer Science/ Information Systems, Business, Engineering, etc. or equivalent relevant work experience.

    Experience with analytics and data management principles such as: data acquisition and modeling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, "big data" techniques, public/hybrid/private cloud data management and analytics services data security, and data and analytics governance.

    Ability to work collaboratively to engage and influence business and IT stakeholders, senior leadership and external partners.

    Familiarity with at least two or more of: Scaled Agile, Scrum development methodology, DevOps/DevSecOps, LEAN, Six Sigma or ITIL practices.

    Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality tools, Collibra, MDM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.

    ability to communicate complex technical concepts to leaders, business sponsors and stakeholders in clear, concise language that inspires confidence and earns trust.

    Experience with UX research, design thinking (DT), or in bringing products to market.

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