Cloud Engineer

Key Responsibilities

• Architect and deploy a multi-layered data environment (bronze/silver/gold) in BigQuery, including ingestion, transformation, and semantic modeling.
• Configure Dataplex to serve as the central framework for cataloging, lineage tracking, governance, and data quality across business domains.
• Build ingestion pipelines—batch and real-time—from diverse sources such as dealer management systems, ERP tools, IoT and telematics feeds, SaaS providers, and on-prem databases using technologies like Dataflow, Pub/Sub, Datastream, Cloud Composer, and Cloud Run.
• Develop modular SQL and transformation workflows using dbt or Dataform with robust testing, documentation, and version control practices.
• Use infrastructure-as-code to provision cloud assets and implement CI/CD automation for both data workflows and platform components.
• Create and maintain clear environment boundaries (Dev / Test / Prod) while ensuring consistent deployment patterns.
• Establish monitoring, alerting, and cost-optimization practices to manage BigQuery compute allocation, storage optimization, and pipeline performance.
• Apply security best practices including IAM policy design, VPC Service Controls, customer-managed encryption keys, and fine-grained access controls.
• Contribute to data protection initiatives such as DLP, masking frameworks, and classification schemes to support analytical and AI-driven workloads.

Business Enablement & Data Products

• Collaborate with leaders across multiple verticals to interpret business requirements and translate them into reliable, scalable data assets.
• Deliver curated data models and subject-area marts optimized for BI platforms like Looker, Power BI, or Tableau.
• Prepare the platform for advanced AI/ML scenarios—feature engineering pipelines, vector stores, Vertex AI integrations, and RAG-oriented architectures.
• Produce technical documentation including architectural diagrams, data contracts, and operational runbooks.

Qualifications

• 5+ years of hands-on experience in data engineering, cloud engineering, or platform-focused development.