Required Education, Skills and Experience: Minimum of 7 years of experience in data engineering, database development, or data architecture Understanding of Pharma Logistics services, processes, and systems, or ability to quickly learn them Proven experience designing data models (dimensional, relational, and NoSQL document models) Hands-on experience with Snowflake, including data loading, modeling, performance tuning, and cost management Strong experience with MS SQL Server development and administration Experience working with NoSQL document databases such as Azure Cosmos DB and Couchbase/CouchDB Demonstrated experience building and supporting production ETL/ELT pipelines Experience integrating data from cloud SaaS applications through APIs and connectors Strong ability to diagnose and resolve performance issues across databases and pipelines Additional technical skills to include: Advanced SQL / T-SQL Snowflake (Snowpipe, streams, tasks, roles, warehouses) Azure Cosmos DB and Couchbase / CouchDB MS SQL Server (SSIS, query optimization) ELT/ETL tools such as Fivetran, Matillion, Azure Data Factory, or Airbyte dbt and Python REST APIs and JSON Git / version control and CI/CD for data pipelines (Optional). Beneficial Education, Skills and Experience: Bachelors degree in Computer Science, Information Systems, Data Engineering, or a related field Snowflake SnowPro or Microsoft Azure data certification Experience leading a migration from legacy reporting databases to a cloud data warehouse Experience with data governance frameworks and master data management Knowledge of pharmaceutical, reverse distribution, or logistics industry data and regulatory requirements Ability to prioritize multiple projects within varying deadlines Ability to work independently as well as in a team Self-starter and able to work in a fast-paced environment Accuracy and attention to detail.