Description: 
•    Collaborate with business groups at data.world to ask thoughtful questions and gather requirements around key insights and reporting needs.
•    Engineer lasting solutions that turn application data and streaming events into self-service reports and insights using AWS Cloud Services and SaaS tools.
•    Develop and maintain a suite of production SQL data models using dbt to transform our streaming and transactional data into a form suitable and efficient for analytics and data science work.
•    Administer and optimize our Snowflake data warehouse and BI infrastructure.
•    Evolve our star schema and data flows to ensure utility and performance. Diagram and document as needed to support understanding and troubleshooting.
•    Write and maintain SQL jobs in support of ETL/ELT and BI analysis, reporting, and visualization, as well as ability to troubleshoot SQL jobs as required.
•    Build and maintain internal data catalog including data dictionaries, glossary, and curated datasets in support of easy self-service by the rest of the company.
•    Develop BI data reports, visualizations, and queries to support measuring our KPIs and supporting the success of our SaaS business.
•    Implement new productized data and analytics capabilities in support of customers understanding their usage and improving data governance.
•    Conduct evidence-based investigations and draw actionable conclusions in support of company and team goals and overall product success.
•    Be a steward and evangelist for data driven culture and data best practices within the company.
•    Be customer zero, leveraging our product and providing feedback as one of the key target users that data.world is actually intended for.
Our data stack:
•    Segment as our customer data platform
•    AWS cloud services and Stitch/Fivetran for extraction and load jobs
•    Dagster for workflow orchestration
•    Snowflake and dbt for in-warehouse transformations
•    data.world for data catalog, governance, and collaboration
•    Tableau as our data serving and BI layer
•    CircleCI for CI/CD
Experience and capabilities you have:
•    2+ years of core data engineering experience writing production grade ELT jobs using scripting languages such as Python and any workflow orchestration tools such as Airflow, Dagster, Prefect, Luigi, etc.
•    2+ years of experience writing production grade SQL and working with any of the modern data warehouses such as Snowflake, BigQuery or Redshift.
•    2+ years of experience in deploying cloud resources using Infrastructure as Code (IaC) tools such as AWS Cloud Formation, Terraform, etc.
•    Familiarity with dbt (data build tool) for cloud data warehouse transformations.
•    Strong data modeling experience using star schema or other data modeling patterns.
•    Strong interpersonal skills and experience interfacing with others internally and externally from the company.
•    Good communication and presentation skills with the ability to explain concepts and conclusions around data and insights in a clear, concise, and compelling way.
Big pluses:
•    Experience working with dbt (data build tool) either in cloud or self-hosted environments.
•    Experience developing data visualizations and choosing the best way to present information using BI tools such as Tableau, Looker etc.
•    Experience maintaining production grade CI/CD pipelines.
•    Experience with Operational Analytics or Reverse ETL tools such as Hightouch, Census, etc.
•    Experience working with streaming data infrastructure such as AWS Kinesis, Kafka, Materialize, etc.
•    Experience working in SaaS or enterprise software companies in the data or analytics space.