What you'll be doing:
Collaborating with partner teams to onboard new customer data, inclusive of metadata tagging and classification
Establishing and maintaining metadata management systems to enhance data discoverability and usage
Creating and deploying automated validation processes to maintain consistency with data management policies
Reporting on and coordinating action to assure retention and access management policies are met
Optimizing scalable reporting workflows to transform complex data into actionable business insights
Ability to effectively drive cross-organizational team collaboration
What we need to see:
Bachelor's degree in data science, computer science, mathematics, information systems, or equivalent experience
5+ years of experience in data governance, data quality, or data management roles
Ability to configure data pipelines and leverage LLM prompt engineering to execute meaningful queries
Hands-on experience with cloud storage platforms such as AWS S3, Azure Blob Storage, or GCP Cloud Storage
Hands-on experience with cloud database and data warehouse platforms such as AWS RDS / Redshift, Azure SQL DB / Synapse Analytics, or GCP Cloud SQL / BigQuery
Supporting environments subject to regulatory compliance requirements related to data handling
Business intelligence tools such as Tableau or PowerBI
Knowledge of data governance and lifecycle management principles
Ways to stand out from the crowd:
Background in working with large, complex datasets, as well as creating and maintaining user documentation
Strong proficiency in SQL and database management systems
Python scripting for workflow automation
Familiarity with statistical analysis tools such as R or Python
Knowledge of APIs and microservices architecture
You will also be eligible for equity and .
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