Business Services & Consulting • all cities, PR 52
Director of Engineering (52)
all cities, PR 52On-sitePosted 1 day ago
Business Services & Consulting
About the Role
Director of Engineering
New
Skills
AI-Assisted Development Analytics Platforms Continuous Delivery Cross-Functional Leadership Data Pipelines Distributed Systems Modular Architecture Remote Team Management Software Architecture Test-Driven Development
As the Director of Engineering for the Analytics Platform & Products, you will lead a dynamic engineering organization, steering strategy, architecture, and execution while ensuring team health. Your role will involve guiding Engineering Managers and collaborating with Principal Engineers to establish technical direction and support pivotal architectural decisions.
Key Responsibilities
Define the roadmap for analytics capabilities, encompassing instrumentation, data foundations, and customer-facing products.
Oversee the design and operation of comprehensive data pipelines, including all stages from instrumentation to product integration.
Drive platform and architecture decisions for various deployment environments including SaaS and self-managed.
Collaborate with cross-functional leaders to align on roadmap and execution.
Build and maintain a high-performing engineering organization with a focus on operational excellence.
Champion asynchronous workflows and AI-assisted development methods.
Required Skills & Qualifications
Strong knowledge of distributed systems and large-scale platform engineering.
Experience with end-to-end data pipelines and analytics platforms.
Ability to engage in technical discussions with senior engineers.
Commitment to engineering practices such as test-driven development and continuous delivery.
Excellent cross-functional communication skills in a remote-first setting.
Interest in areas like product analytics, instrumentation, and privacy-conscious systems.
Director of Engineering
New
Skills
AI-Assisted Development Analytics Platforms Continuous Delivery Cross-Functional Leadership Data Pipelines Distributed Systems Modular Architecture Remote Team Management Software Architecture Test-Driven Development
As the Director of Engineering for the Analytics Platform & Products, you will lead a dynamic engineering organization, steering strategy, architecture, and execution while ensuring team health. Your role will involve guiding Engineering Managers and collaborating with Principal Engineers to establish technical direction and support pivotal architectural decisions.
Key Responsibilities
Define the roadmap for analytics capabilities, encompassing instrumentation, data foundations, and customer-facing products.
Oversee the design and operation of comprehensive data pipelines, including all stages from instrumentation to product integration.
Drive platform and architecture decisions for various deployment environments including SaaS and self-managed.
Collaborate with cross-functional leaders to align on roadmap and execution.
Build and maintain a high-performing engineering organization with a focus on operational excellence.
Champion asynchronous workflows and AI-assisted development methods.
Required Skills & Qualifications
Strong knowledge of distributed systems and large-scale platform engineering.
Experience with end-to-end data pipelines and analytics platforms.
Ability to engage in technical discussions with senior engineers.
Commitment to engineering practices such as test-driven development and continuous delivery.
Excellent cross-functional communication skills in a remote-first setting.
Interest in areas like product analytics, instrumentation, and privacy-conscious systems.
What You'll Do
Define the roadmap for analytics capabilities, encompassing instrumentation, data foundations, and customer-facing products.
Oversee the design and operation of comprehensive data pipelines, including all stages from instrumentation to product integration.
Drive platform and architecture decisions for various deployment environments including SaaS and self-managed.
Collaborate with cross-functional leaders to align on roadmap and execution.
Build and maintain a high-performing engineering organization with a focus on operational excellence.
Champion asynchronous workflows and AI-assisted development methods.
