Salesforce Solutions Architect specializing in Data Engineering at Pottencial, integrating Salesforce with analytical platforms. Leading governance and scalable solutions in CRM environments.
About the role
- Data Engineer building data solutions for a SaaS construction tech startup. Collaborating across teams to analyze data and drive decision-making in high-impact projects.
Responsibilities
- Build and maintain data pipelines, automation scripts, and analytical tools to support business operations
- Analyze complex datasets to identify trends, opportunities, and actionable insights that drive decision-making
- Create dashboards, reports, and data visualizations for internal stakeholders and leadership
- Work cross-functionally with engineering, sales, and operations to solve high-priority business problems
- Own projects end-to-end with minimal supervision—from scoping to execution to presentation
- Identify process inefficiencies and build solutions that scale
Requirements
- Bachelor's degree in a quantitative field (Engineering, CS, Econ, Physics, Math, etc.) from a top-tier university
- Strong proficiency in Python and SQL
- Demonstrated experience with data analysis, visualization, and statistical methods
- Excellent problem-solving skills with ability to structure ambiguous problems
- Outstanding communication skills—can translate technical findings into clear business recommendations
- Self-starter mentality with high ownership and willingness to do whatever it takes
- Comfort with fast-paced startup environment and ability to context-switch between projects
- Experience with data engineering, ETL processes, or database management
- Experience with visualization tools (Tableau, Looker, Power BI, or similar)
- Familiarity with software engineering concepts such as git basic devops
Benefits
- Company-sponsored health insurance
- Unlimited PTO
- FSA
- Remote work flexibility with a dynamic team environment
- Comprehensive benefits package and professional development opportunities
- Accelerated career growth in a fast-scaling startup
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