GCP Senior Product Support Engineer(GCP)

Need quick submission here

Senior Product Support Engineer(GCP)

Location San Antonio, TX

Rate :: 60-65/hr. on C2C

Mandatory Areas

Must Have Skills
Skill 1 GCP Data Platform / Production Support Yrs of Exp 5+
Skill 2 BigQuery, Cloud Composer, GCS & Dataproc
Skill 3 SQL & Data Pipeline Troubleshooting
Skill 4 Incident Management, Production Triage & Root Cause Analysis

Good To Have Skills
Skill 1 Python / Scripting
Skill 2 GitLab CI/CD & Terraform
Skill 3 Databricks / Tableau
Skill 4 Kafka / Confluent Cloud / Event-Driven Integration

Mandatory if Applicable

Domain Experience (If any) GCP DataOps / Cloud Data Platform Production Support

Must have Certifications None mandatory; Google Cloud Associate Cloud Engineer / Professional Data Engineer preferred

The Role

The Senior DataOps Product Support Engineer is responsible for production support, operational stability, incident response, and service reliability for Data Solutions workloads running on Google Cloud Platform. The engineer will support BigQuery, Cloud Composer, Dataproc, GCS, Pub/Sub, CI/CD deployment processes, access and IAM requests, and validation activities.

What You'll Do

Provide production support for Data Solutions workloads deployed on GCP, ensuring high availability, operational stability, and timely incident resolution.

Monitor and support BigQuery, Cloud Composer, Dataproc, GCS, Pub/Sub, and related orchestration and processing components.

Troubleshoot failed pipelines, delayed data loads, orchestration failures, data freshness issues, and environment-specific deployment problems across dev, cert, and prod.

Investigate and resolve production incidents using logs, monitoring tools, SQL analysis, job history, and root cause analysis techniques.

Perform impact assessment, triage, escalation, and stakeholder communication for service interruptions and high-priority incidents.

Manage and audit GCP IAM roles, BigQuery dataset permissions, service account access, and directory group memberships in accordance with security and compliance requirements.

Support user and analyst access issues across BigQuery, Databricks, Tableau, and related data access channels.

Troubleshoot and validate data accuracy, completeness, and delivery across analytical datasets and tables.

Support production deployments and environment promotions using GitLab-based CI/CD processes and infrastructure changes managed through Terraform.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What You Need

Strong experience supporting production data platforms or analytics engineering environments

Hands-on experience with GCP services, especially BigQuery, Cloud Composer, GCS, and Dataproc

Strong SQL skills and the ability to investigate data issues directly in analytical platforms

Experience with Python or similar scripting languages for troubleshooting, automation, or operational tooling

Experience with incident management, production triage, root cause analysis, and operational support processes

Working knowledge of IAM, access provisioning, service accounts, and dataset-level security in cloud environments

Experience with CI/CD and infrastructure-as-code practices, preferably using GitLab and Terraform

Experience supporting data pipelines and orchestration frameworks in production

Ability to work across technical and business teams, including direct support for analysts and data consumers

Preferred Qualifications:

Familiarity with Databricks in an enterprise data platform setting

Experience supporting Tableau data source migrations or BI platform connectivity issues

Experience with data reconciliation and validation methodologies

Exposure to Confluent Cloud, Kafka, or event-driven data integrations

Experience defining or improving SLOs, ing thresholds, and operational metrics such as MTTD and MTTR

Experience with Google Cloud certifications (Associate Cloud Engineer, Professional Data Engineer)

5-9 years experience