Principal Data Platform Engineer - Scale Analytics & AI

Highspot; Seattle (WA); On-site; USD 188,696 - 258,391; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision benefits

401(k) Matching

Flexible PTO

Parental leave

Commuting benefits

Job summary

Highspot in Seattle is looking for a Principal Data Engineer to define the technical vision and lead the Data Platform team. This role involves architecting a scalable data platform, building ingestion pipelines for operational data, and ensuring data quality across multiple engineering teams.

The ideal candidate will have 8+ years in software engineering, experience with data-intensive systems, and expertise in tools like Snowflake, Kafka, and Flink. You will play a key role in fostering collaborative high-performance engineering practices and driving the company's data strategy.

Qualifications

• Depth in building data platforms for real-time and AI workloads.
• Experience with document-oriented stores and handling schema complexity.
• Hands-on with data quality monitoring and lineage tracking.

Responsibilities

• Architect a scalable data platform serving various analytics.
• Build robust ingestion pipelines for complex operational data.
• Ensure data quality and observability across cross-team collaboration.
• Lead and grow a team of data engineers, championing best practices.

Skills

Data platform architecture

Data ingestion and transformation

Data quality and monitoring

Cost-efficient architecture

Cross-functional communication

Team leadership

Education

8+ years in software engineering

Experience with Snowflake, Kafka, Flink

Tools

Snowflake

Apache Kafka

Apache Flink

Terraform

Python

Java

SQL

Job description

Highspot in Seattle is looking for a Principal Data Engineer to define the technical vision and lead the Data Platform team. This role involves architecting a scalable data platform, building ingestion pipelines for operational data, and ensuring data quality across multiple engineering teams.

The ideal candidate will have 8+ years in software engineering, experience with data-intensive systems, and expertise in tools like Snowflake, Kafka, and Flink. You will play a key role in fostering collaborative high-performance engineering practices and driving the company's data strategy.