IoT Data Solutions Lead

Wiliot; Dallas (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Wiliot is seeking a Data Solutions Team Lead to guide delivery teams in real‑world IoT deployments. You will monitor data quality, drive analytics, and empower customers with insights through dashboards and visualizations.

You will work across cross-functional teams in a hybrid Dallas-based role, leveraging your expertise in Python, Spark, and data warehousing to optimize data systems and customer outcomes.

Qualifications

• Master's/Doctorate in Math, CS, data science or equivalent.
• 3–5+ years in data analysis or customer-facing roles.
• People or project management experience.
• Big data, data warehousing, operational analytics and integration.
• Strong Python skills; Spark preferred.
• Visualization tools: Plotly/Tableau/Power BI/Grafana.
• SQL and time-series DB familiarity (InfluxDB a plus).
• Excellent analytical and communication abilities.

Responsibilities

• Work closely with customers on deployments and projects.
• Monitor real-time data streams and system performance.
• Analyze data to identify trends, gaps and anomalies.
• Investigate issues and perform root-cause analysis.
• Translate data into actionable insights for customers and internal teams.
• Build dashboards to communicate performance and impact.
• Collaborate with FDE, Product, and Engineering to improve solutions.
• Escalate data or product issues and drive resolution.
• Guide customers and field teams on deployment best practices.

Skills

Python

Spark

SQL

Data visualization

Dashboarding

Stakeholder communication

Project management

IoT data

Education

Master's or PhD in Math/CS/Data Science

Tools

Plotly

Tableau

Power BI

Grafana

InfluxDB

Job description

Wiliot is seeking a Data Solutions Team Lead to guide delivery teams in real‑world IoT deployments. You will monitor data quality, drive analytics, and empower customers with insights through dashboards and visualizations.

You will work across cross-functional teams in a hybrid Dallas-based role, leveraging your expertise in Python, Spark, and data warehousing to optimize data systems and customer outcomes.