Lead Software Engineer, Data

Location: Minneapolis, MNHires 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 supportLead discovery, intake requirements directly from clients, and present solutions and trade-offs to client stakeholders yourselfLead the architecture and own the system design for your engagements, including the data models, warehouses, and ELT/ETL pipelines that resultEvaluate and estimate work confidently and accurately at the system and project level, not only at the component levelArchitect, build, and maintain data models, warehouses, and pipelines in Snowflake, optimizing for performance, scalability, and costTake on the most critical, complex, and time-sensitive engineering work, and remain a prolific contributor to the team's codeDevelop and tune complex SQL, stored procedures, and transformations in Snowflake and supporting relational databases such as SQL Server and PostgreSQLApply 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 flowsOwn Snowflake performance, governance, and cost management across accounts, including warehouse sizing, clustering, role-based access control, and data securityDesign, build, and maintain back-end APIs and services in Python and C#/.NET that feed and consume the Snowflake platformDesign 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 productionOwn the CI/CD and deployment path for the systems you build, across cloud and on-premise environmentsEstablish, socialize, implement, measure, and iterate on engineering practices for the data practice, and raise the bar through code review, design review, and written architecture decisionsDelegate 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 developmentCreate and lead training for both internal teams and client teams on the solutions you buildAct 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 recurOwn the majority of project-level technical communication with senior internal stakeholders and with clients, and guide the team on how to communicate wellParticipate in new business scoping and pursuits in your area of expertiseContribute to the agency's technical reputation through internal knowledge sharing and external representation such as writing, industry events, and panelsEvaluate new platform capabilities and AI-assisted development tooling, and bring the ones that hold up into how the team worksRequired Qualifications: 8+ years of professional software engineering experience, with the majority of it in data engineeringDemonstrated technical leadership: owning the technical solution for an account, engagement, or team, and being accountable for work beyond your ownDeep hands-on Snowflake expertise: production experience designing data models and warehouses, building ELT/ETL pipelines, and writing performant SQL on the platformDemonstrated ownership of a data model or data platform design from requirements through production, not just implementation of someone else's designExperience leading discovery and shaping a technical solution directly with clients or business stakeholders, not only delivering against a specification handed to youAbility to estimate and plan work accurately at the system and project levelWorking knowledge of Snowflake performance tuning, cost optimization, and security and governance, including warehouse sizing, clustering, and RBACStrong proficiency in Python and C# for back-end development, with recent hands-on work in bothHands-on experience with relational SQL databases such as SQL Server, PostgreSQL, or MySQLProven experience designing, building, and consuming REST APIsPractical DevOps experience: CI/CD pipelines, deployment automation, and server configurationComfort in both Windows Server and Linux environmentsA track record of establishing engineering standards or practices that other engineers followedAbility to manage and context-switch across multiple concurrent client projectsStrong written and verbal communication, including technical communication with non-technical stakeholders and the confidence to lead a design conversation with a clientPreferred Qualifications: Agency, consultancy, or client-services experience, with multiple concurrent clients and client-facing scoping and deliveryActive 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 outWorking fluency with AI-assisted development tools, applied with engineering judgment about where they help and where they do notExperience 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 OrangeAzure DevOps, Azure App Services, or other Azure servicesHubSpot CMS, HubSpot APIs, or marketing automation platformsIIS, .NET deployment, or Windows service managementBenefits That Matter:Our benefits are designed to support life’s many stages—expected and unexpected. Eligible employees can access: Medical, dental, and vision insurance Virtual mental health support Health Savings and Flexible Spending Accounts (including dependent care) Infertility and critical illness benefits 401(k) with generous 6-10% employer contribution Paid parental leave Tuition reimbursement Free parking and commuter supportNote: Some benefits apply only to full-time employees.Who We Are:Our tone is professionally sassy. We embrace meat raffles, hot seats, and the occasional Jell-O shot. We like staff meetings that are informative, educational, and at times, damn funny. We believe in no hierarchy, no bullshit, no politics. Just honest, hard work and great fun.Important to note: While we value AI as a tool, AI is not invited to Bold Orange interviews. We want to meet the wonderfully talented human you! Any suspected use of AI to inform or assist, while actively in an interview with Bold Orange, will result in exclusion from consideration for the role to which you applied or were referred.Equal Opportunity Employer:We are an equal opportunity employer, dedicated to a policy of nondiscrimination in employment on any basis including race, color, creed, gender, sexual orientation, age, disability, religion, national origin, marital status, familial status, ancestry, status as a veteran, status with regard to public assistance and any other characteristic protected by law. Bold Orange does not and will not discriminate against employees, prospective employees, clients, or vendors.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans. If you would like more information about how your data is processed, please contact us.Final compensation is anticipated to be between $115K-$150K and will vary widely depending on local markets and the ideal hires skills and experience at the time of hire.