Data Solutions Architect

Qualifications:

• 8 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 working directly with line of business stakeholders demonstrating job-related skills.
• 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.
• Experience with enterprise business architecture principles and industry standard architecture frameworks.
• Ability to achieve a deep understanding of line of business strategies, priorities, needs, and current capabilities.
• Ability to work collaboratively to engage and influence business and IT stakeholders, senior leadership and external partners.
• Customer management and negotiation skills that enable the ability to mediate opposing viewpoints and articulate the advantages of a preferred solution.
• Strong leadership skills in the technology domain and a high level of drive, initiative and assertiveness.
• Familiarity with at least two or more of: Scaled Agile, Scrum development methodology, DevOps/DevSecOps, LEAN, Six Sigma or ITIL practices.
• Experience with any of the following: 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.
• Excellent written and oral communication skills across all levels; 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.
• Experience working in the Utility Industry and a working knowledge of Utility concepts and challenges a plus.

Job Responsibilities

• 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 execute strategies to introduce new capabilities needed, evolve and mature existing capabilities, and retire capabilities at their end of life.
• 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. Implement corrective and preventive actions based on findings.
• 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.
• Continuous Improvement and Standards Development: Strive for continuous improvement in processes and reliability practices. Develop and evolve standards and procedures in response to business and customer needs.
• Cost Reduction: Identifies wasteful processes and procedures. Work with teams to streamline and automate tasks according to standards.