Senior Data Platform Engineer II — Scale, Semantics & AI

DoubleVerify; New York (NY); Hybrid; USD 107,000 - 193,000; Full time

Job summary

DoubleVerify’s Rockerbox unit is seeking a Senior Software Engineer II to take technical ownership of core data platform components. You will drive the foundation of the stack from Kubernetes-based pipelines and a lakehouse to the semantic layer, ensuring scalable, reliable data flows and high observability.

You’ll work with product and platform teams to define contracts, advocate for AI-enabled tooling, and build interfaces that enable AI agents and UI consumers to access clean data at scale.

Qualifications

• 7+ years of software engineering experience with production systems
• Contract-driven design, API design, and semantic/serving layers experience
• Hands-on mastery with datalake and data warehouse technologies

Responsibilities

• Spearhead execution between data foundation and semantic layer, ensuring data flows reliably into downstream products and workflows.
• Design and develop scalable solutions that enhance application functionality, data efficiency, and overall system performance.
• Architect data endpoints using a semantic layer to transform source data into intuitive, optimized structures for consumption by UI, CLIs, and AI agents.
• Implement advanced monitoring, data-quality checks, and operational practices across pipelines to accelerate incident detection and resolution.
• Operate as a senior generalist across the stack, taking full technical ownership of complex initiatives spanning both data infrastructure and application/API layers.
• Partner with product managers and cross-functional stakeholders to define requirements and deliver reliable, timely data.

Skills

Python

Go

SQL

API design

Tools

Parquet

DuckDB

S3-compatible

Iceberg

Snowflake

Job description

DoubleVerify’s Rockerbox unit is seeking a Senior Software Engineer II to take technical ownership of core data platform components. You will drive the foundation of the stack from Kubernetes-based pipelines and a lakehouse to the semantic layer, ensuring scalable, reliable data flows and high observability.

You’ll work with product and platform teams to define contracts, advocate for AI-enabled tooling, and build interfaces that enable AI agents and UI consumers to access clean data at scale.