- with engineers, product managers, and technical program managers across teams.
- Understand the trade-offs between consistency, durability, and costs to build solutions that can meet the demands of growing services.
- Ensure the operational readiness of the services and meet the commitments to our customers regarding availability and performance.
- Manage end-to-end project plans and ensure on-time delivery.
- Communicate the status and big picture to the project team and management.
- Work with business and engineering teams to identify scope, constraints, dependencies, and risks.
- Identify risks and opportunities across the business and guide solutions.
What Youll Need to be Successful
What Youll Need to be Successful
- Bachelors Engineering degree in Computer Science or a related field.
- 8+ years of experience of enterprise-class experience with large-scale cloud solutions in data science/analytics projects and engineering projects.
- Expert level experience in PowerBI, SQL and Snowflake
- Experience with data visualization, Python, Data Modeling and data storytelling.
- Experience architecting complex data marts applying DBT.
- Architect and build data solutions that use data quality and anomaly detection best practices.
- Experience building production analytics using the Snowflake data platform.
- Experience in AWS and Snowflake tools and services
Good to have:
- Certificate in Snowflake is plus
- Relevant certifications in data warehousing or cloud platform.
- Experience architecting complex data marts applying DBT and Airflow.
