Lead Data Architect
Austin, TX, United States
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Resideo
Resideo offers top-of-the-line home automation solutions to set up your best smart home system, including smart thermostats, security cameras and more.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, youāll define and drive the architecture that powers data products across our smart home ecosystem. Youāll 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.Ā
In this role, youāll 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.Ā
JOB DUTIES:Ā
- 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.Ā
- 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 solutionĀ
- 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.Ā
- Define and enforce architectural standards, data modeling best practices, and governance frameworks to ensure consistency, quality, and compliance across all data systems.Ā
- Collaborate with cross-functional teamsāincluding product, cloud, analytics, and AI/MLāto translate business needs into data infrastructure capabilities that support rapid experimentation and reliable productionization.Ā
- Establish patterns and templates for self-service data access, decision tooling, and data products for internal and external stakeholders.Ā
- Provide technical mentorship to data engineers and analysts, and drive architectural reviews, build-vs-buy decisions, and long-term roadmap planning for Resideoās data ecosystem.Ā
YOU MUST HAVE:Ā
- 8+ years of experience in data architecture, engineering, or platform roles, with a strong background in distributed systems, data modeling, and cloud-native data processing. Expert in at least one programming language for data analysis (e.g., Python), experience with SQL a plusĀ
- Experience with data pipelines and architectures, including technologies such as Apache Spark, Kafka, Delta Lake, or equivalent.Ā
- Proficiency in modern data engineering and scripting languages (e.g., PySpark, Scala, SQL); experience with infrastructure-as-code (e.g., Terraform, CloudFormation) a plus.Ā
- Hands-on experience with modern data lakehouse platforms such as Databricks or Snowflake; strong familiarity with cloud ecosystems (AWS or Azure).Ā
- Proven track record architecting data platforms for production-scale applications, including data warehousing, real-time processing, and ML/AI enablement.Ā
WE VALUE:Ā
- Domain knowledge in time-series, HVAC systems, smart home IoT, or similar industrial telemetry environments.Ā
- Experience establishing data governance frameworks and driving adoption of data catalogs, lineage tools, and metadata management solutions.Ā
- Prior leadership of architectural modernization initiatives (e.g., migration to lakehouse or event-driven architectures).Ā
- A strong product mindsetābalancing technical rigor with practical business trade-offs.Ā
- Passion for mentoring and raising the bar across engineering and data teams.Ā
WHAT'S IN IT FOR YOU:Ā
- At the intersection of technology and purpose, weāre redefining what a SaaS platform and data can do fueling progress for people, businesses, and communities. Ā
#LI-MA1
#LI-HYBRIDĀ
Resideo is a $6.76 billion global manufacturer, developer, and distributor of technology-driven sensing and control solutions that help homeowners and businesses stay connected and in control of their comfort, security, energy use, and smart living. We focus on the professional channel, serving over 100,000 contractors, installers, dealers, and integrators across the HVAC, security, fire, electrical, and home comfort markets. Our products are found in more than 150 million residential and commercial spaces worldwide, with tens of millions of new devices sold annually. Trusted brands like Honeywell Home, First Alert, and Resideo power connected living for over 12.8 million customers through our Products & Solutions segment. Our ADI | Snap One segment spans 200+ stocking locations in 17 countries, offering a catalog of over 500,000 products from more than 1,000 manufacturers. With a global team of more than 14,000 employees, we offer the opportunity to make a real impact in a fast-growing, purpose-driven industry. Learn more atĀ www.resideo.com.
At Resideo, we bring together diverse individuals to build the future of homes. Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. For more information on applicable U.S. equal employment regulations, refer to theĀ "EEO is the Law" poster,Ā "EEO is the Law" Supplement PosterĀ and theĀ Pay Transparency Nondiscrimination Provision. Resideo complies with applicable equal employment laws in all countries where we do business. For more information on how we process your information in the job application process, please refer toĀ Recruitment Privacy Notice. If you require a reasonable accommodation to apply for a job, please useĀ Contact UsĀ form for assistance.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Architecture AWS Azure CloudFormation Data analysis Databricks Data governance Data pipelines Data Warehousing Distributed Systems Engineering Industrial Kafka Machine Learning Pipelines Privacy PySpark Python Scala Security Snowflake Spark SQL Terraform
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