Data Architect/Engineer (Google Cloud Platform)

We are CirrusLabs . Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented to join our team. If you're excited to be part of a winning team, CirrusLabs () is a great place to grow your career.

Job Summary: Data Architect/Engineer (Google Cloud Platform)
Duration: 6-12 Months Contact
Location: Issaquah, Washington (Hybrid)
Key Responsibilities
• Data Pipeline Development: Design, build, test, and maintain scalable data pipelines and ETL processes using Python and GCP services (e.g., Dataflow, BigQuery, Pub/Sub).
• Data Integration & Modeling: Implement batch and real-time data integration workflows, optimize data models and architecture for performance and storage efficiency.
• Collaboration & Support: Work with cross-functional teams to gather data requirements and support data analysts with curated datasets and tools.
• System Reliability: Monitor, troubleshoot, and tune data systems for high availability, scalability, and disaster recovery.
• DevOps Enablement: Build and manage CI/CD pipelines using GitHub and Terraform; ensure security compliance and operational readiness.

Mandatory Skills & Qualifications
Technical Expertise:
• Strong Python programming and Spark experience for data analytics.
• Proficient in GCP services: GCS, Dataflow, Cloud Functions, Composer, Scheduler, Datastream, Pub/Sub, BigQuery, Dataproc.
• Skilled in Apache Beam for batch and stream processing.
• Experience with REST API ingestion, JSON messaging, and scripting (Shell, Perl).
• Deep understanding of SQL, cloud-native databases, and data warehousing concepts.
• Engineering & Migration:
• Proven experience in migrating legacy systems to modern cloud-based architectures.
• Familiarity with distributed computing frameworks and large-scale data handling.
DevOps & Security:
• CI/CD pipeline development with GitHub and Terraform.
• Security integration in deployment workflows.
Soft Skills:
• Strong problem-solving and analytical abilities.
• Excellent communication and teamwork skills.