Data Platform Engineer

aquesst • Atlanta, GA

1d

About The Position

This role sits at the intersection of data infrastructure and business enablement. You’ll help ensure that data across the organization is reliable, accessible, and structured in a way that supports decision-making across multiple functions. Rather than building from scratch, you’ll step into an existing environment and focus on improving consistency, scalability, and overall quality. The role is hands-on, with opportunities to contribute to broader technical direction over time.

Requirements

• Strong experience writing efficient and scalable SQL
• Background working with modern data transformation frameworks (e.g., dbt or similar)
• Familiarity with workflow orchestration tools and ELT pipelines
• Experience working with cloud-based data warehouses
• Comfort using scripting languages (Python or similar) for automation and tooling
• Ability to balance speed with long-term maintainability
• Clear communication skills, especially when working across technical and non-technical teams

Nice To Haves

• Exposure to designing or evolving data platform architecture
• Experience contributing to technical direction or longer-term planning
• Familiarity with documenting technical decisions or system design
• Experience identifying and mitigating scaling or reliability risks
• Experience working across multiple teams to influence shared standards
• Exposure to cloud infrastructure concepts
• Familiarity with data observability or testing frameworks
• Understanding of data privacy and compliance considerations
• Experience evaluating new tools or vendors
• Interest in improving developer productivity through automation or AI tools

Responsibilities

• Build and maintain data pipelines that integrate information from a variety of internal systems into a centralized warehouse
• Improve the stability, performance, and visibility of data workflows
• Partner with engineering teams to ensure clean and dependable data inputs
• Design and refine data models that support reporting and analytics use cases
• Collaborate with analytics stakeholders to make datasets easier to use and extend
• Implement best practices around data quality, validation, and monitoring
• Support secure handling of data, including access controls and governance standards
• Contribute to documentation that helps teams understand and work with shared data assets
• Evaluate and improve tools and processes used across the data stack

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed