Sr. Systems Engineer

Datavations•New York, NY

6d•$170,000 - $180,000•Hybrid

About The Position

Datavations is a leading New York-based data and AI software company specializing in the building materials industry. They provide manufacturers with real-time, store-level visibility into pricing, assortment, and inventory across major retailers. The company is seeking a senior engineer to own the product taxonomy and attributes domain end-to-end. This role involves driving the data systems that organize the market and the applications that enable teams and customers to interact with them. It is a hands-on position with significant architectural latitude, offering full ownership of a critical business system.

Requirements

At least 5 years of experience in Cloud Infrastructure, Site Reliability Engineering (SRE), or Platform Engineering.
Strong expertise with Terraform and infrastructure as code (IaC).
Experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI/CD, ArgoCD).
Strong expertise in architecting solutions using AWS services.
Experience in Python, SQL, dbt, and modern orchestration tools (e.g., Dagster, Airflow, Prefect).
Proficiency with a columnar warehouse (e.g., ClickHouse, Snowflake, BigQuery).
Experience with full-stack development (TypeScript, Next.js or similar).
Experience building production data pipelines and maintaining observability/reliability.
Experience with AI/LLM-based systems, including evaluation and versioning of prompts.
Experience with data visualization tools (e.g., Tableau, Power BI) and project management tools (e.g., Jira).
Thinking like a product person as well as an engineer, forming opinions about user capabilities and understanding the problem behind requests.
Building with AI daily, both in shipped products and daily work.
Writing things down by default and taking ownership of existing codebases.
Experience with retail, e-commerce, or point-of-sale data (bonus).

Nice To Haves

Retail, e-commerce, or point-of-sale data experience.

Responsibilities

Owning the attribute extraction engine, including its LLM-based extraction at production scale, configuration model, quality gates, and cost profile.
Managing the transformation layer for the domain, including dbt models for standardization and an override model for human judgment, built on a ClickHouse warehouse.
Ensuring orchestration and reliability for data pipelines, including Dagster jobs, sensors, and schedules, with a focus on run monitoring, retries, alerting, and recovery tooling.
Owning the internal and customer-facing applications, including the React/Next.js front end, backend services and APIs, application architecture, deployment, and CI/CD.
Managing the write path, ensuring every change is validated, logged, visible, and approved where necessary.
Implementing data quality and observability, including automated testing and statistical detection of issues like outliers and drift.
Establishing engineering standards for the domain, including documentation, tests, runbooks, and fostering a review culture.
Building and maintaining AI/LLM-based systems, including evaluation, prompt versioning, tool-calling, and considering cost and latency as design constraints.