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- Lead the solution architecture design for Data Analytics and Data Platform
- Determine internal and external data sources for potential integration into the platform and design appropriate standards and processes to ensure quality and consistency of the data
- Articulate trade-offs, strengths, and weaknesses of various architectures to determine the best design
- Create appropriate standards and processes to ensure data quality and consistency
- Outline best practices and establish standards for data strategy, data lifecycle, data ownership, data definition, and data classification. Collaborate with stakeholders and advanced analytics business partners to understand business needs and to identify and define advanced analytics solutions.
- Strong knowledge of data architecture, data pipelines, real-time data processing, streaming, networking, and security
- In depth knowledge of big data querying tools
- Demonstrated experience in using SQL, python and Java
- Experience with public data cloud, like Azure Synapse or Snowflake (preferred)
- Demonstrated experience in designing scalable database applications
- Experience working with at least some of the following: Cloud Computing (IaaS, PaaS and Saas), Docker Hub (Compose, Containers), APIs, SOAP and RESTful interfaces, ANT, GIT, Gradle, Maven, Spring