Staff Data Platform Engineer, AI Governance & Pipelines

Ping Identity; Austin (TX); On-site; USD 132,000 - 170,000; Full time

Benefits offered by this job

Competitive compensation

Flexible work options

Education reimbursement

Generous PTO & Holidays

Job summary

Ping Identity's Data Platform team is building the next generation of enterprise AI governance capabilities to enable secure, scalable, and responsible AI agent adoption across platforms. As a Staff Engineer, you will help shape governance concepts from design to reality in a fast-paced, cross-functional environment.

You will partner with engineering, security, compliance, and product teams to craft secure AI solutions, implement governance workflows, and drive observability and reliability

Qualifications

• Bachelor's degree or equivalent practical experience in a relevant field.
• 8+ years of data engineering related software engineering experience with data ingestion, processing, and scalable pipelines.
• Strong understanding of data modeling and scalable data solutions.
• Experience with BigQuery, SQL, NoSQL, and Elasticsearch.
• Experience designing, optimizing, and troubleshooting analytical queries.
• Hands-on experience building and maintaining ETL pipelines and large-scale data processing.
• Familiarity with structured and unstructured data management concepts.
• Good understanding of distributed data systems and data integration patterns.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and maintain AI agent governance across platforms like Bedrock, Vertex AI, Copilot, Azure AI Foundry.
• Prototype and iterate AI agent capabilities, adopting new frameworks and best practices.
• Leverage AI coding assistants and tooling to accelerate delivery with clear requirements and maintainable design.
• Evolve Identity Governance capabilities including certifications, lifecycle management, workflows, and SoD.
• Collaborate with Support and customer teams to troubleshoot and improve reliability.
• Monitor AI agent performance, usage, health, and security across platforms.
• Implement secure AI solutions with authentication, authorization, and least-privilege principles.
• Contribute to observability with logging, metrics, monitoring, and compliance for AI agents.
• Evaluate emerging AI agent platforms and interoperability standards.
• Document architecture, governance processes, and engineering best practices.

Skills

Data ingestion

Data processing

Distributed systems

SQL

BigQuery

Elasticsearch

ETL pipelines

Apache Spark

Apache Beam

Apache Flink

NoSQL databases

Docker

Kubernetes

Cloud platforms (AWS/Azure/GCP)

Education

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or equivalent practical experience

Tools

Apache Spark

Apache Beam

Apache Flink

BigQuery

SQL

Elasticsearch

NoSQL databases

ETL pipelines

Docker

Kubernetes

Job description

Ping Identity's Data Platform team is building the next generation of enterprise AI governance capabilities to enable secure, scalable, and responsible AI agent adoption across platforms. As a Staff Engineer, you will help shape governance concepts from design to reality in a fast-paced, cross-functional environment.

You will partner with engineering, security, compliance, and product teams to craft secure AI solutions, implement governance workflows, and drive observability and reliability