About SimpliSafe
SimpliSafe is a technology-driven home security company with a mission to keep Every Home Secure. We operate always-on systems across devices, professional monitoring, logistics, and customer experience—generating high-volume, event-driven data that is foundational to how the company operates and scales in a reliable, cost-efficient, and SLA-driven manner.
To support our next phase of growth, SimpliSafe is investing in a modern, cloud-native data platform that treats data as a durable enterprise asset. This is a chance to define and build the data backbone of a growth company from the ground up.
We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.
Why are we hiring?
Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.
Overview
The Senior Director, Data Platform Engineering is accountable for architecting, building, and operating SimpliSafe’s core data platform using a lakehouse / medallion architecture (Bronze / Silver / Gold) and modern cloud-native engineering practices.
This leader owns the technical foundation and platform operating model that enables trusted analytics, operational decisioning, and AI/ML use cases across the enterprise—while partnering with business data owners and governance leaders who are accountable for data definitions, BI/analytics, AI/ML, and business outcomes.
This is a senior enterprise engineering role with production accountability.
Key Responsibilities
Platform Architecture & Medallion Implementation
- Architect, build, and implement a modern lakehouse platform using Databricks or equivalent technologies, cloud object storage, and best-in-class open-source tooling.
- Establish and operationalize medallion standards for ingestion, transformation patterns, performance, schema evolution, and data lifecycle management.
- Design scalable, resilient ingestion and transformation frameworks supporting core enterprise domains (customer, device/telemetry, monitoring events, operations, finance, supply chain, marketing).
- Lead migration from legacy pipelines and systems including dual-run strategies and decommissioning.
- Manage technical debt deliberately and evolve the platform as scale and use cases expand.
- Drive strategy and execution using partners and internal resources.
- Drive the execution of enterprise-wide, cross-functional data initiatives by serving as the technical and delivery lead. This includes influencing senior stakeholders and resolving competing priorities.
- Success in this role requires designing a platform that enables domain-aligned teams to build and own Silver/Gold data products independently, without centralized bottlenecks.
Real-Time & Event-Driven Data Engineering
- Build and scale event-driven and streaming data pipelines for near real-time operational and product use cases.
- Implement robust, streaming data ingestion architectures with clear reliability and observability standards.
- Ensure real-time and batch pipelines coexist cleanly with consistent governance hooks, lineage, and quality controls.
Platform Operating Model, Reliability & Cost Discipline
- Own the data platform operating model including intake, prioritization, release management, and engineering standards.
- Be accountable for platform reliability and data SLAs including incident response and root-cause remediation.
- Implement production-grade observability and on-call practices.
- Drive platform cost management and optimization.
Engineering Leadership & Delivery
- Build, lead, and scale a high-performing global team of 10–20+ data platform and data engineers.
- Set a high bar for engineering rigor including CI/CD, infrastructure-as-code, automated testing, and secure-by-default patterns.
- Remain hands-on at the architectural level as an escalation point for complex issues.
Governance Enablement (Without Owning Business Definitions)
- Partner with data owners and governance leaders to enable enterprise governance through platform capabilities such as access controls, lineage, observability, and data quality frameworks.
Qualifications
Experience
- 10+ years in data engineering, platform engineering, or distributed systems roles.
- 5+ years leading teams delivering enterprise-scale data platforms in production.
- Proven history modernizing or rebuilding data platforms with measurable outcomes.
- Strong track record managing third-party partners (onshore and offshore).
Technical Expertise