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
