Senior Data Engineer

About Perry Weather At Perry Weather, we build technology that helps organizations stay safe, operational, and confident when weather conditions change. From the MLB and top construction companies to thousands of schools, cities, golf courses, and manufacturing sites across the country, our products are used in the moments that matter most. We combine cloud software, 6,000+ connected devices, weather stations, outdoor warning systems, and real-time data into one cohesive system, giving teams the clarity and tools they need to make faster, smarter decisions when lives, assets, and operations are on the line. Our engineering team owns every layer of that platform, from embedded firmware to cloud infrastructure, AI, mobile applications, and large-scale distributed systems. We’re a rapidly growing company of over 100 employees, and every engineer has the opportunity to make a meaningful impact on our platform, our customers, and the future of the business. About The Role We’re hiring our first Data Engineer to build Perry Weather’s data platform from the ground up. You’ll design the architecture, build it, and run it in production. You’ll also be accountable for whether the company trusts and uses what you build. Today our operational data lives across Azure SQL Server, TimescaleDB, and business systems including HubSpot, Zendesk, and Acumatica. Nothing unifies them yet. Your job is to build the lakehouse and analytics platform that does, and to make it serve three things at once: executive decision-making, internal AI workflows, and a new line of customer‑facing data products. As the first hire on the data team, you set the architecture and the standards that later hires inherit. The bar is high. We want someone who has built a data platform from zero before, has strong opinions about how it should be done, and prefers an open mandate to a defined one. Core Responsibilities Own the data platform end to end. Architecture, ingestion, modeling, orchestration, testing, cost, and reliability. You make the build‑vs‑buy calls and stand behind them. Unify our operational and business systems. Bring Azure SQL Server, TimescaleDB, HubSpot, Zendesk, Acumatica, and sensor telemetry into one modeled, documented, queryable layer the company treats as the source of truth. Own data reliability. Data contracts, freshness and quality SLAs, lineage, observability, and the on‑call rotation behind them, so problems surface before they reach a dashboard. Build the foundation for our first data products. Our platform collects weather observations, sensor telemetry, environmental conditions, alerts, and operational events. You’ll build the infrastructure that turns that into customer‑facing analytics, APIs, benchmarking, and historical datasets, multi‑tenant and secure from the first release. Lead our AI data strategy. Build the pipelines and centralized datasets behind internal AI agents and LLM workflows, and partner with department leaders to automate repetitive work. We want a real point of view on where AI creates durable value, grounded in systems thinking, not tool lists. Set the standard for the team that follows. Define how we model data, review changes, and document decisions. Help us hire the next data engineers. Work directly with the business. Finance, Revenue, CX, Product, and the executive team. Understand the decisions they’re making and design for them. What You’ll Bring 7+ years in data engineering, or backend engineering with deep data ownership. At least one cloud‑native data platform you designed, built from scratch, and operated in production yourself. Enterprise‑scale data lake, lakehouse, or warehouse experience where you owned the schema, storage, and partitioning decisions. Expert SQL and dimensional modeling. You can design a model that survives a changing business and explain a metric definition to a non‑technical executive. Strong software engineering fundamentals: version control, testing, CI/CD, code review, and infrastructure as code. Reliable ETL/ELT across operational databases, imperfect SaaS APIs, and telemetry streams. A track record supporting executive reporting where the numbers carried real consequences. Hands‑on depth in a modern cloud data stack. Synapse, Databricks, or Snowflake experience all count. Fluency with AI‑native engineering tools and agentic workflows (e.g., terminal‑native coding agents, LLM‑assisted code refactoring and data pipeline generation) to multiply technical output and speed up development cycles. A builder mindset: strategic enough to pick the right architecture, hands‑on enough to ship it. You do the work, not the work around the work. Bonus points for time‑series or geospatial data at scale; IoT or sensor telemetry pipelines; streaming architectures (Kafka, Event Hubs, Flink); customer‑facing or monetized data products; dbt and modern orchestration tooling; and vertical software for physical, traditional, or safety‑critical industries. Why Perry Weather You’re building the foundation. No legacy warehouse to work around and no team to inherit. You design the architecture that carries this company’s analytics, AI, and data products for the next decade. Unusual data at real scale. High-frequency telemetry from 6,000+ field‑deployed devices, weather observations, forecast intelligence, alerting events, and operational data from safety‑critical environments. Your work reaches customers. This role shapes the next generation of our product portfolio, including products we haven’t launched yet. The mission is real. Perry Weather exists to make everyone safer outdoors. Every jobsite, high school, and public park is a safer place because of the systems you’ll build. Room to build. 80%+ annual growth for five straight years, and the biggest opportunities are still ahead. Comprehensive benefits. Competitive health insurance plans, 401(k) with employer matching, and a suite of voluntary benefits, plus monthly All‑Hands, lunch‑and‑learns, and a strong office culture in Dallas’s Oak Lawn neighborhood. This is an in‑office team five days a week. #J-18808-Ljbffr