Sr. Software Engineer II - Data Platform - Rockerbox

Who We Are

DV is the leader in digital performance solutions, helping our advertiser and agency partners Verify the quality of their digital campaigns, Optimise to improve performance and Prove that they’re achieving their business outcomes, through unbiased 3rd party data and analytics. DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, agencies, publishers, and digital ad platforms.

Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital advertising ecosystem, helping to build a better industry. Learn more at

Within DV, Rockerbox empowers marketing executives to confidently make data-driven decisions, helping brands such as Tula, Figs, and Burton with the strategic decision-making that drives growth. To do so, Rockerbox offers a unique suite of product lines that centralize data and offer diversified measurement methodologies. The foundation of Rockerbox's solution is data centralization. Atop this foundation, the platform enables marketers to choose from a range of measurement methodologies, giving customers the flexibility to choose the most appropriate approach for their specific needs and questions.

As a Senior Software Engineer II at Rockerbox, you will take technical ownership of key components within the data platform that powers our products. You'll drive execution across the foundation of our stack: from Kubernetes-based pipelines and aggregations, through our lakehouse, and into the semantic layer, ensuring data flows cleanly, reliably, and deterministically tnering closely with product and platform teams, you'll define the contracts that connect these layers and strengthen the reliability and observability of the platform end to end.

You'll also use modern AI to build efficiently and to a high standard, architecting systems that AI can build on. If you enjoy putting the pieces together across the stack, bringing order to the boundaries between layers, and building resilient data infrastructure with modern technologies, this is the role for you.

• Spearhead technical execution across the seam between our data foundation and semantic layer, ensuring data flows cleanly and 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 our 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 closely with product managers and cross-functional stakeholders (Data, Applications, Data Science, Customer Success) to define requirements and deliver reliable, timely data.

• 7+ years of experience in software engineering, with demonstrated success building, owning, and maintaining production systems that prioritize reliability, scalability, and performance.
• Proven expertise in contract-driven design, API design, and semantic/serving layers built on top of a datalake or data warehouse.
• Hands‑on mastery with datalake and warehouse technologies: columnar formats (Parquet), query engines (DuckDB), object storage (S3‑compatible), lakehouse table formats (e.g., Iceberg), and cloud warehouses (e.g., Snowflake).
• Fluency in at least one…