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Lead Data, Software Engineer
Ovative Group. Set the technical strategy for client delivery and identify rollout bottlenecks and priorities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data and software engineering with a focus on designing scalable data platforms and pipelines. Proficient in SQL and Python, with a strong ability to mentor engineers and influence product development.
Highest-signal resume keywords
Expert-Level SQLExpert-Level PythonData Platform DesignCloud Platform Experience (GCP or Azure)LLM Orchestration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringSoftware EngineeringSystem-Level FixesEngineering StandardsTechnical Strategy
Soft Skills
MentoringInfluencing StakeholdersTechnical Escalation
Tools & Technologies
DagsterDatabricksAI Development Practices
Industry Keywords
Client DeliveryProductizationDeploymentTestingSecurity
Tech Stack
Tools & technologiesAzureCloudGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Set the technical strategy for client delivery and identify rollout bottlenecks and priorities
- Prioritize improvements to the client-facing platform's speed, reliability, and usability
- Partner with Product teams to communicate delivery's technical needs, shape designs, and establish requirements
- Own delivery platform architecture, including patterns, tooling, trade-offs, Dagster, and Databricks usage
- Select, lead, and evaluate proofs of concept for productization or discontinuation
- Drive system-level fixes for recurring client problems
- Define and model engineering standards for testing, security, deployment, and documentation
- Mentor engineers through design reviews and direct coaching
- Act as technical escalation point for difficult client situations and represent the team to client-facing and executive leaders
- Evaluate new tools and technologies, including AI development practices, for team adoption
- Write code for critical or ambiguous work
Requirements
What you’ll need- 7+ years of data and software engineering experience
- Expert-level SQL and Python
- Deep experience designing data platforms and pipelines at scale
- Experience with a major cloud platform, ideally GCP or Azure
- Hands-on experience with LLM orchestration, including tools, agents, and workflows
- Proven ability to influence Product teams and senior stakeholders and shape what gets built
- Experience mentoring engineers and raising the technical bar of a team
- Applicants must be legally authorized to work in the United States for any employer on a full-time basis
- Must not have current or future need for visa sponsorship
- Must verify identity and eligibility to work in the United States and complete required employment eligibility verification documentation upon hire
Benefits
Comp & perks- Annual bonus opportunity of up to 25% of base salary
- Hybrid work flexibility: work from the Minneapolis, Chicago, or New York office on set days each week and remotely on others
- Access to all office spaces in MSP, NYC, and CHI
- Frequent, paid travel to the Minneapolis headquarters for company events, team events, and in-person collaboration
- Generous paid vacation policy
- 401k match program
- Health insurance options, inclusive of same-sex partners
- Family formation benefits, including reimbursement options for fertility, pregnancy, and parenting needs
- Monthly stipend for mobile phone and data plan
- Sabbatical program
- Charitable giving via time and financial match program
- Shenanigan’s Day