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The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us!

We work in a hybrid mode 3+2, with a minimum of 3 days at the office and a maximum of 2 days at the home office.

We employ only via an employment contract.

ROLE OVERVIEW

SolarWinds is hiring a Data Platform Engineer to own BigQuery platform administration, Dataplex-based data security, and end-to-end ELT integrity across the Enterprise Data stack. BigQuery, GCP, and Dataplex are the core depth this role brings, with Fivetran ingestion reliability and pipeline performance as a close second.

Beyond keeping the platform reliable, this role is also expected to be a source of BigQuery best-practice guidance — helping the wider team get more out of the platform, and driving adoption of new BigQuery and GCP features where they improve performance, cost, or reliability.

A core expectation is disciplined, auditable access administration: BigQuery and Dataplex govern PII and sensitive data across the platform, so this role's IAM and policy-tag work needs to hold up to governance and compliance scrutiny, done in partnership with the Data Governance and Cloud Security teams on standards.

WHAT THIS ROLE OWNS

Ingestion reliability — monitoring, triage, and troubleshooting for Fivetran connectors feeding BigQuery.
BigQuery platform administration — IAM, service accounts, cost and performance management, project/dataset structure.
BigQuery best practices and feature adoption — advising the team on patterns, performance, and cost, and evaluating new platform features.
Dataplex governance and security — user-level permissions, PII masking, and policy tag administration, executed in partnership with Data Governance (standards) and Cloud Security (access-control policy).
ELT pipeline integrity and performance — making sure data flows correctly and efficiently from ingestion through BigQuery.
Runbooks and operational hardening across the tools this role manages.

KEY RESPONSIBILITIES

Ingestion & platform administration

Monitor Fivetran connectors; investigate warnings, failures, delays, and abnormal load behaviour into BigQuery.
Administer BigQuery — IAM, service-account patterns, dataset/project structure, cost visibility and optimisation.
Manage the full user lifecycle (onboarding, role changes, offboarding) for BigQuery and Dataplex access.

BigQuery best practices & feature adoption

Advise Data Engineering and Analytics teams on BigQuery best practices — partitioning, clustering, query optimisation, and cost management.
Track new BigQuery and GCP platform features and drive adoption where they improve reliability, performance, or cost.
Maintain internal guidance and documentation on BigQuery patterns and standards for the wider team to follow.

Dataplex governance & security

Administer Dataplex policy tags and taxonomies for PII and sensitive-data masking at the column level.
Grant and audit user-level BigQuery/Dataplex access (Fine-Grained Reader, Masked Reader, and equivalent roles) against least-privilege principles.
Partner with the Data Governance team, who set PII classification standards and policy-tag taxonomy; this role implements and administers the technical configuration.
Partner with the Cloud Security team on IAM and access-control standards, ensuring BigQuery/Dataplex configuration aligns with company-wide security policy.