Data Platform Engineer
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Contract
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Proven experience building loosely coupled production services, APIs, and SDKs in Python used by multiple teams.
- Experience developing metadata-driven platforms that integrate with catalogs, lineage tracking, and automatic checks for contracts and data quality.
- Strong background in building observability solutions that provide meaningful signals for monitoring and troubleshooting.
- Excellent communication skills, with the ability to advocate for architecture standards and mentor team members.
- Extensive experience with AWS cloud services, Terraform, and Kubernetes for scalable infrastructure deployment.
- Familiarity with data governance, schema management, and automated data certification processes.
- Understanding of data pipelines, particularly moving from batch to streaming architectures, and knowledge of cost tradeoffs involved.
- Hands-on experience with Spark, Iceberg at scale, and Snowflake in a production environment.
- Background in ad tech or domains with high-volume event data and multiple consumers.
- Experience developing tooling and data structures suitable for AI agent operation is a plus.
Full description
About The Company
Kargo is a leading innovator in the advertising industry, dedicated to creating impactful moments of connection between brands and consumers to foster business growth. Our dynamic teams work tirelessly to push the boundaries of what agentic AI, connected TV (CTV), eCommerce, social media, and mobile platforms can achieve in delivering unique and engaging ad experiences across some of the world's most premium platforms. With a creative science approach, we continuously develop and innovate solutions that outperform industry benchmarks and exceed client expectations. Kargo's rapid growth has established a global presence, with offices in New York City, Chicago, Los Angeles, Dallas, Sydney, Auckland, London, and Waterford, Ireland.
About The Role
We are seeking a highly skilled and motivated founding engineer to join our Data Platform team. This pivotal role involves shaping the technical standards and building the foundational software that will enable and enforce data governance, quality, and accessibility across the entire organization. As a key contributor, you will work directly with the Senior Director of Data Engineering to develop a unified platform that allows advertisers to run campaigns seamlessly across CTV, web, mobile apps, and social media through a self-serve model. Your responsibilities will include designing and implementing a comprehensive data control plane, developing tools and libraries to streamline data product deployment, and establishing observability standards to ensure data reliability and quality. This role offers a unique opportunity to influence the future of Kargo’s data infrastructure, grow a talented team, and drive innovation in data engineering practices that support automation, scalability, and data-driven decision-making.
Qualifications
- Proven experience building loosely coupled production services, APIs, and SDKs in Python used by multiple teams.
- Experience developing metadata-driven platforms that integrate with catalogs, lineage tracking, and automatic checks for contracts and data quality.
- Strong background in building observability solutions that provide meaningful signals for monitoring and troubleshooting.
- Excellent communication skills, with the ability to advocate for architecture standards and mentor team members.
- Extensive experience with AWS cloud services, Terraform, and Kubernetes for scalable infrastructure deployment.
- Familiarity with data governance, schema management, and automated data certification processes.
- Understanding of data pipelines, particularly moving from batch to streaming architectures, and knowledge of cost tradeoffs involved.
- Hands-on experience with Spark, Iceberg at scale, and Snowflake in a production environment.