Senior Data Platform Engineer
SolarWinds26 days ago
Cork, IrelandSenior
Responsibilities
- Monitor and troubleshoot Fivetran connectors, including warnings, failures, delays, abnormal loads, schema drift, and freshness issues.
- Administer BigQuery projects, datasets, IAM, service accounts, user lifecycle workflows, cost visibility, and performance optimization.
- Administer Dataplex policy tags, taxonomies, PII masking, fine-grained permissions, and user access audits.
- Advise Data Engineering and Analytics teams on BigQuery partitioning, clustering, query optimization, cost management, and platform best practices.
- Monitor end-to-end ELT integrity and performance from ingestion through BigQuery and identify downstream data-source issues.
- Track and drive adoption of new BigQuery and GCP features that improve reliability, performance, or cost.
- Serve as the primary business-hours contact for ingestion and BigQuery platform incidents and lead root-cause analysis.
- Create and maintain runbooks, escalation paths, recovery procedures, internal guidance, and operational documentation.
- Partner with Data Governance and Cloud Security teams to implement PII standards and access-control policies.
Requirements
- At least 3 years of experience in data platform or cloud platform operations roles.
- Strong production experience with Google Cloud Platform, especially BigQuery, including platform administration, cost optimization, partitioning, clustering, and slot management.
- Hands-on Dataplex experience with policy tags, taxonomies, PII or column-level masking, and fine-grained IAM roles.
- Experience with GCP IAM, service accounts, least-privilege access administration, and regulated or PII-sensitive data environments such as GDPR or HIPAA settings.
- Experience operating or supporting an ELT ingestion tool such as Fivetran, Airbyte, or CData.
- Experience with monitoring, alerting, incident response, root-cause analysis, data integrity, and pipeline performance in production data environments.
- Strong SQL skills and enough data-modeling fluency to troubleshoot raw, staging, and mart layers.
- Ability to use the GCP CLI and Python or Bash scripting to automate platform administration and access workflows.
- Strong documentation and runbook discipline.
- Familiarity with dbt, Tableau or comparable BI platforms, and business-system pipelines such as Salesforce or NetSuite is preferred.
- Experience in a SaaS environment and relevant Google Cloud certification, such as Professional Data Engineer or Professional Cloud Architect, are preferred.
Benefits
- Hybrid 3+2 work arrangement with at least 3 days in the office and up to 2 days working from home.
- Employment is provided only through an employment contract.
- Business-hours incident responsibility with no formal on-call rotation.
- Equal employment opportunity employer with applications handled under the company privacy notice.
Tech Stack
Categories
Data Engineering
About SolarWinds
SolarWinds builds IT operations and observability software used by IT departments and MSPs to monitor networks, servers, databases, applications, logs, and help desks. It sells subscriptions and licenses for on-premises and SaaS products such as SolarWinds Observability and the Orion Platform; founded in 1999 and headquartered in Austin, Texas, the company is publicly traded on the NYSE under the ticker SWI.