SNOWFLAKE DATA ENGINEER

Job Description:
Seeking a dynamic Data Engineer with strong consultative skills serve on project teams to deliver cloud-based data and analytics platforms with Snowflake at the core.

Responsibilities: 
Deploy solution architectures, data migration and integration plans, and new features within a Snowflake-based environment. 
Deliver on Snowflake architecture best practices and leverage the strengths of the platform to meet the specific requirements and use cases around architecture, standards and governance. 
Demonstrate strong technical knowledge and implementation skills. Stay current on relevant technology trends and practices. Build trust and respect among internal and external stakeholders and demonstrate collaborative teamwork.

Experience: 
5+ years of experience in enterprise data and analytics architecture and/or development with 3+ years designing cloud-based solutions primarily leveraging Snowflake. 
Adept at leveraging Azure which complement Snowflake in a Modern Data Platform setting (i.e. native cloud services related to data ingress, storage, engineering and analytics) 
Informatica Cloud IICS and Azure Databricks & ADF skills would be a plus 
Delivered end-to-end migrations of data warehouse environments to Snowflake 
Has implemented Snowflake functionality specific to role-based access control (RBAC), data masking, Snowpipe and governance 
Experience designing data models in Snowflake for use in Snowflake dashboards a plus 
Experienced in a programming language e.g., Python/Java and SQL 
Experienced with working with teams of developers and other technical professionals in an Agile delivery framework 
Positive relationship builder able to navigate through complex situations to ensure the most robust and pragmatic solution 
Strong analytical skills and the aptitude to quickly identify gaps and risks 
BA/BS required, preferably in Computer Information Systems, Computer Science, or related fields (applicable education and experience may be substituted) 
Advanced degree (MS) in a quantitative discipline preferred (applicable experience may be substituted) 
Knowledge of MS Power Platform and Power BI reporting a plus 

Technical Requirements: 
Expert-level understanding of enterprise data and analytics concepts like relational-data modelling, data integration, business intelligence and data-platform modernization (i.e. migrating from legacy technology environments to cloud-based platforms) 
Experienced with enterprise tooling such as Microsoft SQL Server, Microsoft SSIS, Oracle, Teradata, Netezza, DB2, or Informatica Power Center or Informatica Cloud IICS 
Has leveraged tools such as Azure Data Factory, Databricks, DBT, Matillion, or Talend for ELT-based data integration 
Familiar with DataOps concepts and tooling for source control and CI/CD pipelines 
SnowPro technical certification preferred but experience may be substituted