Principal Data Architect
As a Principal Data Architect, you will define and lead the enterprise data architecture vision, ensuring alignment with business and technology strategies. You will architect scalable, secure, and high-performance data platforms and pipelines across cloud, on-premises, and hybrid ecosystems. The role involves building reference architectures and data models—including relational, dimensional, NoSQL, graph, and object-store—for diverse data types and workloads. You will establish and enforce standards for data governance, security, quality, lineage, and metadata across the enterprise. Mentoring teams, driving architectural reviews, and translating complex technical concepts into clear, actionable recommendations for stakeholders are key responsibilities. The ideal candidate brings 10+ years of experience in data engineering or enterprise architecture, with strong expertise in BigQuery, Dataform, GCS, Composer, GCP Workflows, CI/CD pipelines, data modelling, and cloud data warehousing across GCP and Azure. Advanced proficiency in SQL and Python for large-scale data processing, automation, and analytics is required. Relevant certifications such as GCP Professional Data Engineer/Architect, AWS Solutions Architect, or Azure Architect are expected.