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 the company. 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 the company

The company (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.

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 the company 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.

Position Duties & 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 the company

Azure DevOps, Azure App Services, or other Azure services

HubSpot CMS, HubSpot APIs, or marketing automation platforms

IIS, .NET deployment, or Windows service management

Benefits 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 support

Note: 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 the company 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 the company, 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. The company does not and will not discriminate against employees, prospective employees, clients, or vendors.