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What will you do?
Evolve existing source data pipelines to an ELT model of data ingestion
Cleanly separate source-aligned data products from aggregate data products
Richly decorate your data products with metadata to support knowledge transfer, adoption, and the application of Machine Learning
Tag and classify your data assets to ensure they are used responsibly throughout the organization, applying masking or restricting access where appropriate
Apply software engineering best practices to your code release process to support CI/CD and a high velocity collaboration model based on InnerSource
Register and maintain the catalog entries for your data products to support discoverability and reuse
Ensure your data products easily join with other business data products using common identifiers and keys
Develop automated and resilient processes that support the end-end delivery of business value
Publish and deliver on a data product SLO for your data ‘customers’
Responsibly share your data products with other internal consumers while balancing the core needs of security and compliance
Contribute feedback and recommendations to the Data Platform team in order to remove friction and increase scale for all users
Write custom adapters to integrate internal data sources into the centralized Warehouse environment
What will you bring?
Bachelor's degree in Computer Science, Computer Engineering, or related field.
8+ years of software development experience with a focus on data applications & systems
Exceptional software and data engineering skills that lead to elegant and maintainable data products
Expert-level proficiency in using SQL for data transformation
Proficiency in at least one general purpose programming language, eg. Python, Go, Java, Rust, etc.
Strong opinions and perspectives that you kindly debate, defend, or change to ensure that the entire team moves as one
Sets and resets the bar on all things quality, from code through to data, and everything in between
Deep empathy for your users of your data products, leading to a constant focus on removing friction, increasing adoption, and delivering business results
Prunes and prioritizes work in order to maximize your contributions and impact
Bias for action and leading by example
Past experience in building enterprise data products that have a high level of governance and compliance requirements
Optional Skills
Familiarity with open source or inner source development and processes
Familiarity of data mesh architectural principles
Experience with Snowflake, Fivetran, dbt, Airflow / Astronomer
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