> Markdown version of [/jobs/ext/2115253-manager-data-platform-engineering](https://www.wearedevelopers.com/jobs/ext/2115253-manager-data-platform-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Platform Engineering - **Company:** SimpliSafe, Inc - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $171,200.0 - $228,200.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, DevOps, Technical Debt, Infrastructure Automation Frameworks, Information Technology, AWS Data Analytics, Databricks - **Published:** August 19, 2026 - **Apply:** https://job-boards.greenhouse.io/simplisafe/jobs/8130457 ## About the Role * 8+ years in data platform, data engineering, or infrastructure engineering, including 5+ years managing engineering teams, with a track record of hiring senior and staff engineers and growing technical leadership beneath you. * Built and operated a modern cloud lakehouse in production (Databricks or comparable), including the environment, CI/CD, and access model, not only the workloads running on it. * Ran a platform migration while the legacy environment stayed in production: parallel operation, reconciliation, cutover, and decommissioning. * Led external delivery partners or vendor engineering teams. Defined technical acceptance criteria, held partners to them, and brought the capability in-house rather than leaving a dependency. * Built ingestion at scale (batch, replication, CDC, and API) on a reusable framework, with production pipeline reliability as your responsibility. * Bachelor's degree in computer science, engineering, information systems, or a related field, or equivalent experience., * Databricks depth: Unity Catalog, Workflows/Jobs, Delta/DLT. ## Description You'll report to the Senior Director, Data Platform, and lead a team of core platform and data integration engineers plus a Data Architect. You'll work closely with the Senior Manager, Data Engineering, whose team builds and operates the silver and gold pipelines that serve our Analytics and Data Science organizations. Your platform is the foundation they build on. You'll also partner with the Senior Program Manager, who owns the integrated roadmap and executive reporting, and with Security, Privacy, and Infrastructure, who retain 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 plus the Data Architect, and 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 against reliability, cost, and technical debt. * Own the core platform: environments, deployment patterns, orchestration, CI/CD, and infrastructure automation, delivered as self-service patterns and templates rather than a ticket queue. * Own ingestion and integration. Build reusable frameworks across batch, replication, CDC, and API, plus standards for source onboarding, schema change, data contracts, metadata, and lineage. * Own reliability and observability: incident response, recovery, on-call practices, monitoring, and alerting, extending coverage across data products with the Senior Manager, Data Engineering. * Own platform cost and performance. Drive compute and workload optimization and cost visibility, in partnership with Finance and Infrastructure. * Set architecture direction with the Data Architect on major decisions, standards, and exceptions without becoming an approval gate, and build security, privacy, access, and governance requirements into how the platform runs. * Own technical acceptance of implementation-partner work. Define acceptance criteria, review mechanisms, and knowledge transfer so our engineers can operate the platform before handoff. * Lead platform and ingestion migration off the legacy estate, supporting Data Engineering's workload and data-product cutover., * Owned platform cost and performance: accountable for a consumption or budget line, with specific optimizations you can point to. * Retired or replaced in-house platform component in favor of a supported alternative. * Consumer products, hardware, technology, or subscription businesses. What Values You'll Share * Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them. * Aim High - Always challenging ourselves and others to raise the bar. * No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style. * One Team - Taking a highly collaborative approach to achieving success. * Lift As We Climb - Investing in developing others and helping others around us succeed. * Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment., Website Is a member of your immediate family a current SimpliSafe employee, contractor or board member (immediate family includes spouse, domestic partner, parent, child, any individual you are a legal guardian of, any individual that is your legal guardian, sibling, in-law, aunt, uncle, first cousin, niece, nephew, grandchild, or grandparent)?* Select... Is a member of your immediate family a current SimpliSafe employee, contractor or board member (immediate family includes spouse, domestic partner, parent, child, any individual you are a legal guardian of, any individual that is your legal guardian, sibling, in-law, aunt, uncle, first cousin, niece, nephew, grandchild, or grandparent)? Have you either been employed by SimpliSafe as an employee or engaged as a contractor at any point in the past?* Select... Will you now or in the future require sponsorship?* Select... Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in SimpliSafe's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Gender Select... Are you Hispanic/Latino? Select... Race & Ethnicity Definitions If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Veteran Status Select... ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)