Job at a glance
Location: Minneapolis, MN Hires local to the Twin Cities Metro-Area can anticipate an in-office component of 1-2 days a week, employed with Bold Orange. If this position lists, “Open to Remote”, hires outside of the metro area can anticipate travel to our Minneapolis, MN office on an as-requested basis. We value human connection and some travel is anticipated. About Bold Orange: Bold Orange (BOCO) is a customer experience company.
We believe authentic human connections are the single most important driver of business and societal progress. We exist to create these connections across the customer lifecycle, from acquisition to engagement to retention. Our culture is one of curiosity, collaboration, proactivity and always bringing the outside, future focused perspective to our clients. Position Summary: Lead-level, hands-on data engineering role centered on Snowflake.
You will own the technical solution for your accounts end to end, from discovery and requirements through architecture, build, and production, and you will be the person clients and internal teams look to for the answer on how the data platform should work. Leads at Bold Orange take on the most critical and complex engineering work and are expected to be prolific contributors to the team's code, while also setting technical direction, establishing engineering practices, and multiplying the effectiveness of the engineers around them.
Snowflake powers a SaaS platform we operate and a growing share of our client data work, and it is where we are investing to get stronger, so deep and demonstrable Snowflake expertise is central to this role. We also work with Redshift and Databricks, both internally and on behalf of clients. You will work alongside solution architects, other data engineers, project managers, and client teams across multiple concurrent engagements.
Duties and Responsibilities: Own the technical solution and provide overall technical oversight for your accounts, from discovery through production and ongoing support Lead discovery, intake requirements directly from clients, and present solutions and trade-offs to client stakeholders yourself Lead the architecture and own the system design for your engagements, including the data models, warehouses, and ELT/ETL pipelines that result Evaluate and estimate work confidently and accurately at the system and project level, not only at the component level Architect, build, and maintain data models, warehouses, and pipelines in Snowflake, optimizing for performance, scalability, and cost Take on the most critical, complex, and time-sensitive engineering work, and remain a prolific contributor to the team's code Develop and tune complex SQL, stored procedures, and transformations in Snowflake and supporting relational databases such as SQL Server and PostgreSQL Apply native Snowflake capabilities where they earn their place, including Snowpipe, Streams and Tasks, dynamic tables, and external and stage integrations for near-real-time data flows Own Snowflake performance, governance, and cost management across accounts, including warehouse sizing, clustering, role-based access control, and data security Design, build, and maintain back-end APIs and services in Python and C#/.NET that feed and consume the Snowflake platform Design and own integrations with client and internal marketing, CRM, and analytics platforms, including the authentication, error handling, and monitoring that keep an integration reliable once it is in production Own the CI/CD and deployment path for the systems you build, across cloud and on-premise environments Establish, socialize, implement, measure, and iterate on engineering practices for the data practice, and raise the bar through code review, design review, and written architecture decisions Delegate effectively and multiply the team: set technical direction, review designs before code is written, pair on hard problems, and grow depth on Snowflake and back-end develo