Principal Engineer

• Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
• Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
• Define and implement Data Strategy for private and public cloud
• Lead and perform current state data assessments, create future state vision, strategy, roadmap
• Ensure Data-related design patterns, best practices are central to technology practices in the organization
• Create and manage reusable frameworks for data engineering and establish architecture patterns for data engineering across traditional and big-data solutions
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
• Partner with Enterprise teams and Line of Business partners on customer-centric view of the data, data reuse, and data consistency across all customer interactions
• Establish processes and tools to support consistency, lineage, collection, processing, sharing, and organization of data across Home Lending portfolio
• Establish Home Lending wide data standards and governance. Manage data as a strategic asset and operationalize data governance, data quality, and controls across the organization

• 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 7+ years of technical leadership or architecture experience, in a data and technical environment to include Data Engineering, Data Management, ETL, Big Data Hadoop, AI/ML capabilities
• 3+ years of cloud data solutions experience

• A master's degree or higher in computer science or finance
• Strong verbal, written, and interpersonal communication skills
• Experience Hadoop ecosystem tools such as Apache Flume, Apache Kafka, Apache Sqoop, Apache Flink, Apache Hive or Apache Storm
• Agile Scrum (CSM), SAFE certifications or other advanced Agile certifications
• Experience with Agile Scrum (Daily Standup, Sprint Planning and Sprint Retrospective meetings) and Kanban
• Knowledge and understanding of home lending or consumer lending
• 7+ years of information technology systems design and planning experience in data, systems, applications, or architecture
• 5+ years of engineering leadership experience with large scale transformation efforts and ability to drive Technology decisions with senior level stakeholders
• 5+ years of experience with systems architecture and design
• 5+ years of experience with modern software engineering technologies and tool sets

Ability to travel up to 30% of the time