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 Architect 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 Architect | About You
As a Snowflake Data Architect, you’ll be the strategic mind behind the architecture, design, and implementation of cloud-based data platforms using Snowflake, Azure, and AWS. You excel at building scalable, efficient data pipelines and leading technical decisions that shape innovative data solutions. You’ll play a key role in guiding and mentoring your team while delivering impactful results. In this role, you’ll also work with data architectures for batch, micro-batch, and real-time streaming across cloud and on-prem environments. By ensuring data models and ETL processes align with business objectives, you’ll help us set new standards for excellence.
Snowflake Data Architect | Day-to-Day
Lead a team of data engineers in designing, developing, and deploying cloud-based data solutions using Snowflake, Azure, and AWS.
Collaborate with cross-functional teams to define data requirements and architect efficient, scalable, and cost-effective data pipelines that address complex business challenges.
Design and implement robust data models and ETL processes that ensure data quality and integrity, enabling key insights for stakeholders.
Optimize data architectures for performance and cost using cutting-edge cloud-native tools and best practices.
Provide hands-on technical leadership and mentorship, guiding team members in the use of best practices, modern tools, and innovative methodologies.
Document data models, processes, and solutions to foster knowledge sharing and transparency across teams, driving continuous improvement.
Snowflake Data Architect | Skills & Experience
8+ years of experience as a Data Architect, with extensive hands-on expertise in Snowflake, Azure, and AWS environments.
Proven experience designing scalable data architectures, including real-time, batch, and micro-batch data pipelines, with a focus on performance and innovation.
Proficiency in ETL tools such as Fivetran, Azure Data Factory, and Azure DevOps, with a particular focus on automation and streamlining processes.
Deep knowledge of data modeling, data integration, and optimizing pipelines for performance and cost.
Experience leading and mentoring teams, driving the adoption of cloud-native data solutions, and applying best practices across the team.
Strong command of SnowSQL, DDL, DML, and predictive analytics to drive data solutions.