Sr. Manager, Data Platform Engineering
SimpliSafe · Boston, MA
About this role
**Sr. Manager, Data Platform Engineering — SimpliSafe** ## About SimpliSafe SimpliSafe is a high-tech home security company on a mission to keep **Every Home Secure**. We foster a **no-ego culture** focused on collaboration and innovation, and we want you to **grow and thrive** here. **Work model:** Hybrid. Teams come together in the state-of-the-art office on **two core days** (typically Tuesday/Wednesday/Thursday), and choose where they work for the remainder of the week. ## Why we’re hiring We’re growing and investing in a **multi-quarter Enterprise Data Platform** program to move our data and analytics stack onto a **modern lakehouse**. ## About the job We’re seeking a **Senior Manager, Data Platform Engineering** to lead the team that **builds, operates, and evolves** our data platform—and ensures SimpliSafe can **own and run what we build**. You will: - Manage the **current platform** - Partner with **vendors** to implement the new platform - Work with the **Senior Manager, Data Engineering** to plan the **deprecation of legacy infrastructure** - Stay close enough to the technical work to **review designs, challenge estimates, and make key decisions** (without being the sole architect) ## Who you’ll work with - Reports to the **Senior Director, Data Platform** - Leads a team of **core platform & data integration engineers** plus a **Data Architect** - Partners closely with the **Senior Manager, Data Engineering** (who builds/operates silver & gold pipelines for Analytics and Data Science) - Collaborates with the **Senior Program Manager** (integrated roadmap & executive reporting) - Works with **Security, Privacy, and Infrastructure** on enterprise policy and risk accountability ## What you’ll do - **Lead and grow the team:** Hire, coach, develop, and performance-manage platform, DevOps, and integration engineers + the Data Architect; manage capacity across build, migration, and legacy support. - **Own the platform roadmap:** Translate target architecture into sequenced capabilities, engineering standards, and team plans—balancing new capability with reliability, cost, and technical debt. - **Own the core platform:** Environments, deployment patterns, orchestration, CI/CD, and infrastructure automation delivered as **self-service patterns/templates**. - **Own ingestion and integration:** Build reusable frameworks across batch, replication, CDC, and API; define standards for source onboarding, schema changes, data contracts, metadata, and lineage. - **Own reliability and observability:** Incident response, recovery, on-call practices, monitoring, and alerting (extending coverage with Data Engineering). - **Own platform cost and performance:** Drive compute/workload optimization and cost visibility with Finance and Infrastructure. - **Set architecture direction with the Data Architect:** Guide major decisions, standards, and exceptions while embedding security/privacy/access/governance into how the platform runs. - **Own technical acceptance of partner work:** Define acceptance criteria, review mechanisms, and knowledge transfer so engineers can operate the platform before handoff. - **Lead platform & ingestion migration** off the legacy estate to support workload and data-product cutover. ## Minimum qualifications - **8+ years** in data platform, data engineering, or infrastructure engineering, including **5+ years managing engineering teams** (hiring senior/staff engineers and growing technical leadership) - **Built and op
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