Snowflake Data Engineer

Onebridge is a Consulting firm with an HQ in Indianapolis, and clients dispersed throughout the United States and beyond. We have an exciting opportunity for a highly skilled Snowflake Data Engineer to join an innovative and dynamic group of professionals at a company rated among the top “Best Places to Work” in Indianapolis since 2015. 

Snowflake Data Engineer | About You 

As a Snowflake Data Engineer, you are responsible for defining data requirements, developing technical specifications, and architecting scalable and efficient data pipelines. You have a strong background in cloud-based data platforms and services, along with proven leadership skills to manage a team of data engineers. You will optimize ETL architectures and ensure adherence to best practices, security, and coding guidelines. You will also work closely with cross-functional teams, offering strategic insights and reporting project status, risks, and issues.

Snowflake Data Engineer | Day-to-Day 

• Lead a team of data engineers in the design, development, and implementation of cloud-based data solutions using Snowflake, Fivetran, and Azure services. 
• Collaborate with cross-functional teams to define data requirements, develop technical specifications, and architect scalable, efficient data pipelines. 
• Design and implement data models, ETL processes, and data integration solutions to support business objectives and ensure data quality and integrity. 
• Optimize data architecture for performance, scalability, and cost-effectiveness, leveraging cloud-native technologies and best practices. 
• Provide technical leadership and mentorship, guiding team members in the adoption of best practices, tools, and methodologies. 

Snowflake Data Engineer | Skills & Experience 

• 8+ years of experience as a Data Engineer with a focus on cloud-based data platforms and services such as AWS, Azure, or GCP.
• Extensive hands-on experience designing and implementing data solutions using Snowflake, Fivetran, and Azure cloud environments. 
• Strong proficiency in SQL and Python, with advanced knowledge of data modelling techniques, dimensional modelling, and data warehousing concepts. 
• In-depth understanding of data governance, security, and compliance frameworks, with experience in implementing security controls and encryption in cloud environments. 
• Excellent leadership and communication skills, with the ability to lead cross-functional teams, communicate technical strategies, and achieve goals in a fast-paced environment.

A Best Place to Work in Indiana, since 2015.