Lead Data Architect

Welcome to Resideo where were 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 youll define and drive the architecture that powers data products across our smart home ecosystem. Youll 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 youll 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.

JOB DUTIES:

• 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 teamsincluding product cloud analytics and AI/MLto 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 Resideos data ecosystem.

YOU MUST HAVE:

• 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 plus
• Experience with data pipelines and architectures including technologies such as Apache Spark Kafka Delta Lake or equivalent.
• Proficiency in modern data engineering and scripting languages (e.g. PySpark Scala SQL); experience with infrastructure-as-code (e.g. Terraform CloudFormation) a plus.
• Hands-on experience with modern data lakehouse platforms such as Databricks or Snowflake; strong familiarity with cloud ecosystems (AWS or Azure).
• Proven track record architecting data platforms for production-scale applications including data warehousing real-time processing and ML/AI enablement.

WE VALUE:

• Domain knowledge in time-series HVAC systems smart home IoT or similar industrial telemetry environments.
• Experience establishing data governance frameworks and driving adoption of data catalogs lineage tools and metadata management solutions.
• Prior leadership of architectural modernization initiatives (e.g. migration to lakehouse or event-driven architectures).
• A strong product mindsetbalancing technical rigor with practical business trade-offs.
• Passion for mentoring and raising the bar across engineering and data teams.

WHATS IN IT FOR YOU:

• At the intersection of technology and purpose were redefining what a SaaS platform and data can do fueling progress for people businesses and communities.

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