Lead Data Architect at Resideo
Austin, TX 78738, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Oct, 25

Salary

0.0

Posted On

30 Jul, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Welcome to Resideo, where we’re on a mission to transform homes into intelligent, efficient, and secure living spaces through the power of IoT-connected devices. As a Principal Data Architect, you’ll define and drive the architecture that powers data products across our smart home ecosystem. You’ll lead the design of scalable systems that ingest, process, and serve time-series telemetry from millions of devices, supporting use cases from real-time alerting to enterprise analytics.
In this role, you’ll provide technical leadership across cross-functional teams including data engineering, cloud, AI, and product. Your charter is to build a unified, future-ready data platform that unlocks insights and accelerates innovation. Success comes from a deep understanding of distributed systems, a product-minded approach to architectural decisions, and a passion for designing elegant, reliable data infrastructure.

Responsibilities
  • Evolve and design a scalable, secure, and efficient data architectures that power connected HVAC/Security/and other IoT solutions, enabling performance metrics, analytics, and downstream AI applications.
  • Analyze and interpret complex time series data from connected HVAC systems to build cutting-edge metrics of HVAC performance, generate insights, and create value for our network of pros and homeowners using our IoT solution
  • Lead the design and implementation of robust, distributed data platforms that support ingestion, storage, and processing of high-volume time-series telemetry across millions of devices.
  • Define and enforce architectural standards, data modeling best practices, and governance frameworks to ensure consistency, quality, and compliance across all data systems.
  • Collaborate with cross-functional teams—including product, cloud, analytics, and AI/ML—to translate business needs into data infrastructure capabilities that support rapid experimentation and reliable productionization.
  • Establish patterns and templates for self-service data access, decision tooling, and data products for internal and external stakeholders.
  • Provide technical mentorship to data engineers and analysts, and drive architectural reviews, build-vs-buy decisions, and long-term roadmap planning for Resideo’s data ecosystem.
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