Consultant GCP DevOps Engineer

Job Description: GCP DevOps / DataOps Engineer

Role Overview

We are looking for a GCP DevOps / DataOps Engineer to design, automate, and maintain the cloud infrastructure . In this role, you will work hand-in-hand with GCP Data Engineers, Analytics Consultants, and the clients central IT/platform teams to build automated, secure, and production-grade pipelines that ingest, clean, and model marketing and membership data across diverse acquisition and retention vehicles.

Key Responsibilities

• Infrastructure as Code (IaC): Design, provision, and maintain modular GCP cloud resources using Terraform, ensuring environment parity across Dev, Staging, and Production.
• DataOps CI/CD Pipelines: Build automated CI/CD pipelines (GitHub Actions / GitLab CI / Cloud Build) for data workflows, including BigQuery, Cloud Composer (Airflow), dbt, and Cloud Dataflow.
• Security & Compliance: Implement least-privilege IAM, service account management, customer data security standards, VPC service controls, and encryption (KMS) aligned with US retail data governance.
• Observability & Reliability: Establish end-to-end monitoring, automated alerting, and log routing across ingestion pipelines and analytical databases using Cloud Monitoring, Cloud Logging, and custom Slack/Teams notifications.
• Cost Optimization & Performance: Partner with Data Engineering to monitor query costs, storage tiers, auto-scaling thresholds, and resource utilization across GCP compute and analytics engines.
• Client & Stakeholder Collaboration: Coordinate with client platform engineering and infosec teams to navigate firewall rules, private connectivity, and compliance approvals.

Required Qualifications & Skills

• Experience: 4+ years in DevOps/SRE, with at least 3+ years dedicated to Google Cloud Platform (GCP).
• IaC & Automation: Strong expertise in Terraform (writing reusable modules, state management in GCS, automated drift detection).
• Data & Analytics Stack: Practical experience operationalizing data stacks on GCP:
• Google BigQuery (partitioning, clustering, slot management, CI/CD for schema migrations/dbt).
• Cloud Composer / Apache Airflow (DAG deployment automation, dependency management).
• Cloud Storage, Pub/Sub, and Dataflow/Dataproc.
• CI/CD Mastery: Deep hands-on experience building multi-stage deployment pipelines (GitHub Actions, GitLab CI, or Cloud Build) with automated testing, linting, and security scanning (SonarQube, Trivy, or Snyk).
• Scripting & Containers: Proficiency in Python and Bash; strong command of Docker containerization and container registry management (Artifact Registry).
• Networking & Security: Solid understanding of GCP VPCs, Private Google Access, Cloud NAT, IAM policies, and Service Accounts.

Preferred / Nice-to-Have

• GCP Professional Cloud DevOps Engineer or Professional Google Cloud Architect certification.
• Experience in retail media, loyalty programs, or ad-tech data environments handling high-volume transaction/clickstream datasets.
• Exposure to MLOps tools (Vertex AI pipelines, feature stores, model registry