3 дня назад
Sr. Manager, Data Platform Engineering
171 200 - 228 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Manager, Data Platform Engineering (Databricks/AWS): Leading the team building, operating, and evolving a modern enterprise data lakehouse platform with an accent on platform reliability, ingestion frameworks, infrastructure automation, and migration from legacy systems. Focus on managing parallel platform migration, designing self-service CI/CD and orchestration patterns, optimizing cost and performance, and establishing technical acceptance for implementation-partner work.
Location: Boston, MA; hybrid work model with two core office days per week
Salary: $171,200–$228,200 annual base pay
Company
is a high-tech home security company developing customer-focused security products and services.
What you will do
- Lead, hire, coach, and performance-manage platform, DevOps, integration engineers, and a Data Architect.
- Own the roadmap for a modern enterprise data platform and translate target architecture into sequenced capabilities, standards, and team plans.
- Build and operate platform environments, deployment patterns, orchestration, CI/CD, infrastructure automation, and self-service engineering templates.
- Develop reusable ingestion and integration frameworks for batch, replication, CDC, and APIs, including standards for schemas, data contracts, metadata, and lineage.
- Own reliability, observability, incident response, recovery, on-call practices, monitoring, alerting, cost visibility, and workload performance.
- Lead migration from the legacy platform, manage implementation-partner acceptance and knowledge transfer, and coordinate cutover and decommissioning.
Requirements
- 8+ years in data platform, data engineering, or infrastructure engineering, including 5+ years managing engineering teams.
- Experience building and operating a modern cloud lakehouse in production, using Databricks or a comparable platform.
- Experience running platform migrations while legacy environments remain in production, including parallel operation, reconciliation, cutover, and decommissioning.
- Experience leading external delivery partners or vendor engineering teams and bringing delivered capabilities in-house.
- Experience building reusable ingestion frameworks at scale across batch, replication, CDC, and APIs.
- Bachelor’s degree in computer science, engineering, information systems, or a related field, or equivalent experience.
Nice to have
- Databricks experience with Unity Catalog, Workflows/Jobs, and Delta/DLT.
- AWS data stack experience with S3 and Iceberg/Delta, plus Kafka streaming.
- Experience owning platform cost and performance budgets and replacing legacy platform components.
- Background in consumer products, hardware, technology, or subscription businesses.
Culture & Benefits
- Collaborative, inclusive, and no-ego working environment.
- Mission- and values-driven culture focused on customer security.
- Total rewards package with wellness, medical, retirement, lifestyle, and other benefits.
- Free system and professional home monitoring.
- Employee Resource Groups supporting networking, mentoring, development, and advocacy.
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