unybrands is a next-generation e-commerce platform for micro-brands, headquartered in Miami. They are seeking a Senior Data Engineer with expertise in GCP solution architecture to design, build, and optimize cloud solutions that meet complex business needs in the e-commerce and retail sectors.
Responsibilities:
- Architect Scalable Cloud Solutions: Lead the design and implementation of end-to-end GCP-based architectures covering data, applications, infrastructure, and security
- Build Robust Data Pipelines: Develop and maintain reliable ETL/ELT pipelines using tools like Airflow, DBT, and languages like Python and We’rSQL
- Optimize BigQuery Warehousing: Design schemas, tune queries, and manage costs while working with large, complex datasets
- Ensure Data Quality & Governance: Implement standards for data accuracy, consistency, and lineage tracking
- Drive Performance & Efficiency: Monitor and optimize the performance and cost-effectiveness of cloud solutions
- Leverage Industry Knowledge: Apply your domain expertise to solve real-world retail, e-commerce, and supply chain challenges
- Maintain Security & Compliance: Build secure solutions aligned with privacy laws and industry best practices
- Lead & Mentor: Guide engineers, share best practices, and foster a culture of technical excellence
- Collaborate Across Teams: Work closely with stakeholders to define requirements and ensure solution success
- Document Clearly: Produce high-quality design docs, architecture diagrams, and best-practice guides
Requirements:
- 8+ years in IT, with 3+ in cloud architecture or GCP solutions
- Proven hands-on experience with Google Cloud Platform services
- Strong knowledge of data architecture, ETL/ELT, and data warehousing (BigQuery)
- Solid coding skills in SQL, Python (preferred), Java, or Scala
- Familiarity with Airflow, DBT, and version control (e.g., Git)
- Industry experience in e-commerce, retail, or CPG
- Excellent communication and problem-solving skills