Lead Software Engineer, Data

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 development
• Create and lead training for both internal teams and client teams on the solutions you build
• Act as the technical escalation point for production issues in a multi-client environment, and own the fix and the follow-up so the same failure does not recur
• Own the majority of project-level technical communication with senior internal stakeholders and with clients, and guide the team on how to communicate well
• Participate in new business scoping and pursuits in your area of expertise
• Contribute to the agency's technical reputation through internal knowledge sharing and external representation such as writing, industry events, and panels
• Evaluate new platform capabilities and AI-assisted development tooling, and bring the ones that hold up into how the team works

Required Qualifications:

• 8+ years of professional software engineering experience, with the majority of it in data engineering
• Demonstrated technical leadership: owning the technical solution for an account, engagement, or team, and being accountable for work beyond your own
• Deep hands-on Snowflake expertise: production experience designing data models and warehouses, building ELT/ETL pipelines, and writing performant SQL on the platform
• Demonstrated ownership of a data model or data platform design from requirements through production, not just implementation of someone else's design
• Experience leading discovery and shaping a technical solution directly with clients or business stakeholders, not only delivering against a specification handed to you
• Ability to estimate and plan work accurately at the system and project level
• Working knowledge of Snowflake performance tuning, cost optimization, and security and governance, including warehouse sizing, clustering, and RBAC
• Strong proficiency in Python and C# for back-end development, with recent hands-on work in both
• Hands-on experience with relational SQL databases such as SQL Server, PostgreSQL, or MySQL
• Proven experience designing, building, and consuming REST APIs
• Practical DevOps experience: CI/CD pipelines, deployment automation, and server configuration
• Comfort in both Windows Server and Linux environments
• A track record of establishing engineering standards or practices that other engineers followed
• Ability to manage and context-switch across multiple concurrent client projects
• Strong written and verbal communication, including technical communication with non-technical stakeholders and the confidence to lead a design conversation with a client

Preferred Qualifications:

• Agency, consultancy, or client-services experience, with multiple concurrent clients and client-facing scoping and delivery
• Active SnowPro certification, Core strongly preferred, Advanced (Data Engineer or Architect) a significant plus. We support and pay for certification, so a strong engineer without it is not ruled out
• Working fluency with AI-assisted development tools, applied with engineering judgment about where they help and where they do not
• Experience with recent Snowflake platform capabilities, including CoCo, CoWork, Horizon Catalog, and Horizon Context (Semantic Views)
• Redshift and/or Databricks experience, both of which are in use at Bold Orange
• Azure DevOps, Azure App Services, or other Azure services
• HubSpot CMS, HubSpot APIs, or marketing automation platforms
• IIS, .NET deployment, or Windows service management