Designs, develops, maintains and optimizes internal company data architecture for complex databases/data warehouse required to operate the business
Completes data modelling for acquisition and database implementation collaborating with different stakeholders
Applies data extraction, transformation and loading techniques to connect large and complex data sets from a variety of sources
Leads the creation of data collection frameworks for structured and unstructured data and solves complex data problems to generate features required by data scientists
Leads activities to develop and maintain complex infrastructure systems (e.g., data warehouses, data lakes) including data access APIs
Analyzes and manages complex data
Guides other data and analytics professionals on data standards and practices
Creates a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions
Leads build of repeatable data pipelines across complex multi
and hybrid-cloud environments
Leverages Automation extensively for scalability, repeatability, and reuse

3+ years of experience building platforms and data products
3+ years of experience working with data and data warehousing business solutions
1+ years of experience with cloud-platform technologies (AWS, Azure, GCP)
Experience with data pipeline tools and Extract Transform Load (ETL) services
Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion
Experience with Artificial Intelligence (AI) hardware and software integration
Experience with C++, Python and Java

Data Solutions Architect, Mid-Level, Lead, or Senior

Key skills