10+ years of data engineering experience with at least 2-3 years as a Data Architect or Data Engineering Lead
Solid experience and understanding of architecting, designing, and operationalizing large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
Ability to review current state data landscape/architecture and recommend strategies to improve end to end processes for Data ingestion, ETL, Data analysis and Reporting.
Ability to review existing connector architecture for a variety of source systems and recommend improvements.
Possess hands-on skills to review, structure and optimize complex joins.
Possess excellent analytical skills, the ability to understand business domain and business processes quickly and the ability to think through best data processes to meet business needs.
Possess deep technical knowledge of and hands-on experience on Snowflake, Fivetran, dbt and Tableau.
Should have a good understanding of the latest and greatest in data technologies.
Quick learner (of new processes and new business domains)
Should be an excellent communicator with the ability to interact with senior client stakeholders.
