Obtain formal training or certification on Data Engineering concepts and apply expert experience.
Leads data engineering teams to achieve functional technology objectives
Makes strategic decisions that influence teams’ resources, budget, tactical operations, and the implementation of processes and procedures
Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
Delivers data pipeline and architecture solutions that can be leveraged across multiple businesses
Influences peer leaders and senior stakeholders across the business, product, and data technology teams
Champions the firm’s culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on Data Engineering concepts and expert applied experience. In addition, advanced experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
Advanced experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
Experience developing and leading cross-functional teams of technologists
Experience dealing with internet scale volume, velocity and size of data
Experience hiring, developing, and recognizing talent
Experience in Data streaming and messaging frameworks (e.g. Kafka, Spark Structured Streaming)
Experience in Big Data technologies handling complex data processing requirements
Experience building data pipelines and platforms on AWS