Senior Solution Architect

Key responsibilities include:

• Data Architecture: Perform all technical aspects of data architecture and solutions architecture for ID&A, including integrating data sources, defining appropriate data environments strategies, and enforcing API (Application Programming Interface) standardization as applicable
• Data Design: Translate logical data architectures into physical data designs, ensuring alignment with data modeling best practices and platform blueprints
• Data Process and Monitoring: Ensure proper data ingestion, validation, testing, and monitoring for ID&A data lake
• Leads design and code reviews to ensure the delivery of best-in-class data analytics and adherence to enterprise standards
• Data Migration: Design and support migration to a data model that is independent of the particular technologies or tools used for storing, processing, or accessing the data
• Data Integrity: Ensure the accuracy, completeness, and quality of data is maintained over time regardless of upstream systems or downstream
• Agile Methodologies: Act as the platforms single point of contact (SPOC) when coordinating with relevant stakeholders and supervising the data architecture implementation
• Identifies and implements technical solutions and business process improvements by analyzing business needs and leveraging innovative technologies
• Ensures the engineered environment meets the specification in terms of business requirements, application design and infrastructure requirements, i.e. accountable for the platform integration performance and efficiency
• Enterprise Thinking: Partner with data architects and engineers across Global Infrastructure and Asset Management teams to evolve the broader tech operations data architecture landscape
• Responsible for coaching and mentoring engineering resources on solution architecture, providing advice, mentorship and assistance to less experienced colleagues as required
• Contribute to decisions about new technologies, tools, methods and approaches
• Innovation: Leverage the evolving technical landscape as needed, including AI, Big Data, Machine Learning and other technologies to deliver meaningful business insights
• Ensures accurate asset information and architecture decisions are well-documented in the appropriate systems and repositories

Minimum Requirements:

• 10+ years of solutions architecture, data architecture or DataOps engineering experience in designing pipeline orchestration, data quality monitoring, governance, security processes, and self-service data access
• Prior experience in multiple IT disciplines with a confirmed understanding of architectural concepts (business, data, technical and solution) and real-time processing
• Extensive experience using a systems analysis and design methodology that is applicable to an agile product environment
• Advanced to authoritative level knowledge and understanding of solution architecture, complex application systems design and platform integration via modern approaches (i.e. RESTful APIs)
• Ability to perform system design reviews to ensure selection of appropriate technology, efficient use of resources, and alignment to strategic platform roadmaps
• Full understanding of Service Oriented Architecture design principles, execution patterns and performance optimization techniques
• Able to participate in the prevention, diagnosis, and resolution of system outages as a leader in the underlying architecture
• Hands-on coding experience in Python
• Hands-on expertise with design and development across one or more database management systems (e.g. GCP, SQL Server, PostgreSQL, Oracle)
• Strong analytical skills with a proven ability to understand and document business data requirements into complete, accurate, extensible and flexible logical data models, data visualization tools (e.g. Apptio BI, PowerBI)
• Ability to write efficient SQL queries to extract and manipulate data from relational databases, data warehouses and batch processing systems
• Fluent in data risk, management, and compliance terminology and best practices
• Proven track record for managing large, complex ecosystems with multiple stakeholders
• Self-starter who is able to problem-solve effectively, organize and document processes, and prioritize feature with limited guidance
• An enterprise mindset that connects the dots across various requirements and the broader operations/infrastructure data architecture landscape
• Excellent influential and collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross-team communication
• Understanding of complex software delivery including build, test, deployment, and operations; conversant in AI, Data Science, and Business Intelligence concepts and technology stack
• Foundational Public Cloud (AWS, Google, Microsoft) certification; advanced Public Cloud certifications a plus
• Experience with design and coding across multiple platforms and languages a plus
• Bachelors Degree in computer science, computer science engineering, data engineering, or related field required; advanced degree preferred