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 centralise data and offer diversified measurement methodologies. The foundation of Rockerbox's solution is data centralisation. 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.

• 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 prioritise 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 general‑purpose language (we use Python and Go) and strong SQL, with the judgment to pick the right tool rather than a deep attachment to any one language.
• Comfortable using AI as a primary tool (coding assistants, LLMs, and agents), and eager to build the contracts and interfaces that let AI systems operate on our data safely.
• Proven track record in monitoring and observability, and a practical instinct for data quality.
• Fluency with orchestration, containerisation, and Kubernetes for scalable deployments.
• Energised by working at the boundary between our data foundation and the products built on it, and by defining the interfaces that connect them.
• Flexible and self‑motivated, with a strong drive to see problems through to a solution.
• Effective communicator, capable of clearly conveying complex technical concepts to non‑technical stakeholders.

• Experience…