Data Architect

Responsibilities

• Define and implement the technology strategy across Analytics, Big Data, and Cloud platforms, research current industry trends, evaluating them for risk and fit to business requirements. Provide insight and technology recommendations that result in enterprise solutions that solve critical business problems.
• Design, deliver, and document multi-platform architecture with a focus on architectural standards, growth, performance, flexibility, reliability, scalability, and security.
• Identify architectural risks and plans to mitigate.
• Lead innovation by exploring, investigating, recommending, benchmarking, and implementing data centric technologies for the platform.
• Be the technical architect and point person for data platforms.
• Architect reliable and scalable data platforms; provide standard interfaces to query and support analytics for finance data sets that are transparent, efficient and easy to access as possible by our varied applications.
• Work on complex technical problems and provide solutions which are highly innovative.
• Determine and pursue courses of action necessary to obtain desired results; conveys ideas within train and to groups outside of train.

Qualifications

• Candidate with experience in a Data Architect role who has attained a degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
• Design processes supporting data transformation, data structure, metadata, dependency, and workload processing, and extracting value from large, disconnected structured and unstructured data (e.g., Elastic MapReduce) and considerations for scalable, distributed systems.
• Advanced working SQL knowledge and experience working with relational data, building, and optimizing data pipelines, architecture, and data.