Summary
We are seeking a Senior Data Engineer with a distinguished background in Google Cloud Platform (GCP) to spearhead the evolution of our enterprise data ecosystem. With 5–8 years of professional experience, the successful candidate will operate as a technical authority, designing and deploying sophisticated data architectures that bridge the gap between complex raw data and strategic business intelligence. This role demands a mastery of distributed computing, advanced Python development, and expert-level SQL optimization to ensure the integrity, scalability, and cost-efficiency of our global data assets.
Core Responsibilities
Enterprise Framework Design: Conceptualize and implement end-to-end data architectures utilizing GCP’s Modern Data Stack (BigQuery, Dataflow, Dataform).
Scalable Data Modeling: Lead the development of high-performance data models (Star, Snowflake, Data Vault) optimized for multi-petabyte scale and high-concurrency analytics.
Hybrid & Multi-Cloud Strategy: Provide technical leadership on data integration strategies spanning GCP, on-premise systems, and third-party SaaS environments.
Distributed Processing: Engineer highly resilient, low-latency streaming and batch pipelines using Apache Beam (Dataflow) and Cloud Composer (Airflow).
Software Engineering Excellence: Develop reusable Python libraries and frameworks to standardize data ingestion, logging, and error-handling across the engineering team.
Infrastructure as Code (IaC): Drive operational maturity by managing cloud resources exclusively through Terraform, ensuring robust versioning and environment parity.
System Optimization: Conduct deep-dive performance tuning of BigQuery environments, implementing partitioning, clustering, and slot management to optimize ROI.
Security & Compliance: Architect data security protocols including VPC Service Controls, IAM Least Privilege, and data masking/encryption to meet global compliance standards (GDPR, SOC2).
Observability: Establish comprehensive monitoring and alerting frameworks for data health, ensuring high availability and meeting stringent Service Level Objectives (SLOs).
Strategic Mentorship: Serve as a mentor to mid-level and junior engineers, conducting rigorous code reviews and promoting best practices in DataOps.
Stakeholder Alignment: Act as a primary technical liaison between Data Science, Business Intelligence, and Executive leadership to translate business goals into technical roadmaps.
Saama develops life science solutions that accelerate the delivery of therapies to patients. With innovative AI technologies, Saama drives breakthrough intelligence into clinical and commercial operations. The Saama platform powered the clinical trial that led to the world’s first COVID-19 vaccine. Headquartered in Campbell, CA, with employees around the globe, Saama is committed to helping customers save and improve lives. Discover more at saama.com.
