Senior Data Engineer

Senior Data Engineer

A Google Cloud Solution Architect is responsible for designing, developing, and implementing scalable, secure, and cost-optimized cloud solutions on Google Cloud Platform (GCP). They work closely with business stakeholders to translate requirements into technical architectures, lead cloud migrations, and ensure alignment with best practices in security, performance, and governance.

The architect evaluates existing systems, recommends cloud-based improvements, and provides technical leadership across teams, ensuring cloud solutions support organizational goals and operate reliably in production environments. They function as a strategic and technical expert, guiding cloud adoption, overseeing architecture decisions, and ensuring that deployments follow industry standards and enterprise policies.

Design scalable, secure, and high-performance architectures using core GCP services such as Compute Engine, GKE, Cloud Storage, Big Query, and App Engine.

Lead cloud migration initiatives, including planning, workload assessment, and data/application migration strategies with minimal disruption.

Implement cloud security and compliance controls, including IAM, encryption, logging, and adherence to regulatory frameworks.

Optimize cloud workloads for cost, performance, and availability through monitoring, tuning, and architectural refinements.

Collaborate with engineering, Dev Ops, security, and business teams to ensure architectural alignment and successful project delivery.

Evaluate existing on-prem and cloud systems and recommend improvements or modernizations aligned with GCP best practices.

Provide technical leadership and mentoring, supporting engineering teams on architectural decisions and cloud adoption patterns.

Create documentation covering architectures, patterns, deployment processes, and operational guidelines.

Deep expertise with core GCP services, including Compute Engine, GKE, Cloud Storage, Big Query, and networking/security services.

Strong cloud architecture skills, including designing highly available, fault-tolerant, and secure systems.

Experience with cloud migration methodologies, hybrid cloud patterns, and workload modernization.

Proficiency in Dev Ops practices, CI/CD, automation, and infrastructure-as-code tools such as Terraform or Deployment Manager.

Knowledge of containers and orchestration, including Kubernetes, Anthos, and Docker.

Strong security and compliance understanding, including IAM design, encryption strategies, and regulatory frameworks (e.g., GDPR, HIPAA).

Excellent communication and stakeholder management skills, with the ability to translate business needs into architectural solutions.

7 years of experience implementing technology solutions, including cloud architecture design and evaluation.

3 years hands‑on experience in application architecture, focusing on scalable and reliable cloud‑native systems.

2 years working directly with Google Cloud Platform in production environments.

Experience managing clients or projects in cloud modernization or cloud‑first initiatives.

Google Professional Cloud Architect

Google Professional Data Engineer”

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data‑driven decisions, and unlock the value of their data assets.

The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.

The base compensation range for this role in the posted location is $86,900 to $208,800.

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