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Manage client relationships, provide technical support, and lead end-to-end data product implementations. Drive data quality, customer adoption, customizations, and new product development across pricing, ecommerce intelligence, and supply chain analytics. Collaborate with data science, engineering, and sales teams while developing data pipelines, visualizations, documentation, and platform capabilities. Train employees and help customers generate value from data products.

Forward Deployed Engineer responsible for managing client relationships, supporting end-to-end data product implementations, ensuring data quality and adoption, and coordinating account and engineering teams. The role develops scalable data pipelines and product lines, applies SQL or Python and statistical methods, creates visualizations, documents code, trains employees, and drives customer value. Experience with data products, retail or consumer data, BI infrastructure, and alternative data sources is valuable.

Own the taxonomy and attribute platform end to end, including LLM extraction, dbt transformations, ClickHouse data models, Dagster orchestration, full-stack applications, APIs, CI/CD, data quality, observability, and reliable write workflows. Architect AWS infrastructure with Terraform, build AI evaluation and prompt-versioning systems, manage cost and latency, and establish engineering standards, testing, documentation, and operational runbooks.

Own Datavations’ taxonomy and attribute platform end to end, including LLM extraction, dbt transformations, ClickHouse warehousing, Dagster orchestration, full-stack applications, APIs, CI/CD, data quality, observability, and AI evaluation. Design reliable, auditable systems using AWS, Terraform, Python, SQL, TypeScript, and Next.js. Establish testing, monitoring, versioning, documentation, and operational standards while partnering with the data platform team.

Own Datavations’ taxonomy and attribute systems end to end, including LLM extraction, dbt transformations, Dagster orchestration, full-stack applications, APIs, deployment, CI/CD, data quality, observability, and approval workflows. Build reliable AI systems with evaluation suites, versioned prompts, tool-calling, cost controls, and monitoring. Partner with the data platform team while establishing engineering standards, documentation, testing, runbooks, and scalable architecture.

Serve as primary strategic partner for a portfolio of manufacturers, drive adoption of Datavations analytics, translate complex data into actionable narratives, identify upsell opportunities, advocate for clients internally, and develop repeatable playbooks to scale customer impact and ROI.