Lead Wildfire Data Architect

Essential Responsibilities

• Create and maintain big data architecture standards and frameworks which support the big data strategy.
• Lead & drive efforts to develop, maintain and measure reference architecture, standards, design patterns and related technical documentation to ensure implementation of the strategic big data plan.
• Develop business, information and technical architectures that are aligned with data strategies & principles; develop optimized technology road maps to support strategic data.
• Manage technical governance of technology solutions, big data architecture principles, big data reference architecture and big data standards.
• Provide technical leadership and architectural direction.
• Maintain state-of-the-art knowledge of big data/enterprise architecture technologies.
• Apply knowledge in the continued development and enhancement of advanced analytics plans.
• Interact with senior management and effectively communicate highly technical information to numerous audiences.
• Effectively develop relationships and gain support from related stakeholders.
• Anticipate business needs and trends and the direction Advanced Analytics/Big Data must take in order to properly support the business.

Minimum Requirements

• Bachelor's degree in Computer Science, Computer Engineering, CIS, MIS or related field.
• Eight years of big data experience with multiple programming languages and technologies.
• Experience with large scale big data methods Experience with researching, experimenting, and utilizing leading.
• Big Data methodologies and technologies.
• Experience with architecture, implementation and testing data processing pipelines, data mining / data science algorithms on a variety of hosted settings.
• Experience translating advanced business analytics problems into technical approaches that yield actionable recommendations across multiple, diverse domains; communicate results and educate others through design and build of insightful visualizations, reports, and presentations.
• Demonstrated ability to work with team members and clients to assess needs, provide assistance, and resolve problems.

Preferred Qualifications

• Utility experience
• Wildfire experience
• Geospatial data understanding
• Familiarity with databricks, fivetran, data engineering and ETL processes