Data Architect

As a Data Architect GCP at AuxoAI, you will play a crucial role in leading enterprise data platform design and architecture modernization for global client engagements. Your responsibilities will include designing scalable data architectures using GCP-native services, guiding data engineering teams, and defining best practices for ingestion, transformation, governance, and consumption layers. Key Responsibilities: - Design and implement enterprise-scale data architectures using GCP services, with a focus on BigQuery as the central analytics platform. - Lead the end-to-end implementation of medallion architecture (Raw Processed Curated) patterns. - Oversee data ingestion pipelines utilizing Cloud Composer, Dataflow (Apache Beam), Pub/Sub, and Cloud Storage. - Implement scalable ELT workflows using Dataform and modular SQLX transformations. - Optimize BigQuery workloads through advanced partitioning, clustering, and materialized views. - Lead architectural reviews, platform standardization, and stakeholder engagements across engineering and business teams. - Implement data governance frameworks leveraging tools like Atlan, Collibra, and Dataplex. - Collaborate with ML teams to support Vertex AI-based pipeline design and model deployment. - Enable downstream consumption through Power BI, Looker, and optimized data marts. - Drive adoption of Infrastructure-as-Code (Terraform) and promote reusable architecture templates. - Manage a distributed team of data engineers; set standards, review code, and ensure platform stability. Qualifications Required: - 10+ years of experience in data architecture and engineering. - 4+ years of hands-on GCP experience, including BigQuery, Dataflow, Cloud Composer, Dataform, and Cloud Storage. - Deep understanding of streaming + batch data patterns, event-driven ingestion, and modern warehouse design. - Proven leadership of cross-functional, distributed teams in client-facing roles. - Strong programming skills in Python and SQL. - Experience working with data catalog tools (Atlan, Collibra), Dataplex, and enterprise source connectors. - Excellent communication and stakeholder management skills. Preferred Qualifications: - GCP Professional Data Engineer or Cloud Architect certification. - Experience with Vertex AI Model Registry, Feature Store, or ML pipeline integration. - Familiarity with AlloyDB, Cloud Spanner, Firestore, and enterprise integration tools (e.g., Salesforce, SAP, Oracle). - Background in legacy platform migration (Oracle, Azure, SQL Server). If you are passionate about driving data architecture innovation using GCP and possess the required expertise and leadership skills, we encourage you to apply for the Data Architect GCP position at AuxoAI.,