The ideal candidate for the Data and Analytics Stream Technical Lead is a senior-level leader who has significant depth in the design/build and management of big data solutions. He will be responsible for the support and maintenance of current technology solutions as well as the design/build/transition to data platforms that align with new and growing business needs.
— 5+ years of Data, analytics, solutions and digital transformation experience, preferably in a high growth company;
— 3+ years’ experience as a senior leader, growing and managing high performing technology teams;
— Extensive experience leading large complex projects, including strategic and tactical planning and implementation, analysis, design, technology selection and deployment;
— Hands on experience deploying data warehouses and advanced analytical solutions;
— Integrating structured and unstructured data from hundreds of source systems;
— Experience with PgSQL, Kafka, Airflow, Nifi;
— Ability to do technical Project Management;
— Advanced knowledge of data modeling and relational database design.
— Lead Data technology team to ensure quality, completeness and timeliness of solution delivery;
— Develop technical aspects of the stream strategy to ensure alignment with its business goals;
— Support business development efforts within the data platforms sector. This includes conceptual design, sizing and development of Enterprise Data Warehouse and data lake;
— Consistently evaluating and enhancing technical efficiency;
— Inspire, manage, and continuously develop a world-class team of technology professionals and their careers;
— Ensure a continuous improvement, high quality and innovation;
— Communicate effectively with business stakeholders;
— Synthesize relevant information on key milestones, success criteria and risks.
— Have the ability to manage multiple, high priority efforts effectively under significant deadline pressure;
— Ability to communicate advanced technical concepts to non-technical audiences;
— Team and process-oriented spirit;
— Data Quality mindset;
— Leadership and organizational abilities;
— Strategic thinking.