The **Junior Data Engineer** builds, maintains, and monitors foundational data pipelines and datasets that enable reliable analytics, reporting, and data-driven products. The role focuses on implementing well-defined data integration tasks, improving data quality and observability, and contributing to a scalable data platform under guidance from senior engineers.
The **Junior Analytics Engineer** designs, builds, tests, and maintains curated analytics datasets (often called “models” or “data marts”) that enable trusted reporting, self-service BI, and product/business decision-making. Working under the guidance of senior analytics engineers and/or data engineers, this role converts raw and semi-structured data into well-documented, quality-checked, and stakeholder-friendly tables and metrics.
The **Distinguished DataOps Engineer** is a top-tier individual contributor (IC) who designs, standardizes, and continuously improves the operating system for reliable, secure, and scalable data delivery across the enterprise. This role blends deep data engineering, SRE/DevOps discipline, platform thinking, and governance-by-design to ensure that data products (pipelines, transformations, models, and semantic layers) are **deployable, observable, testable, and recoverable**.
The **Distinguished Data Platform Engineer** is a top-tier individual contributor responsible for defining, evolving, and operationalizing the enterprise data platform strategy that powers analytics, AI/ML, and data-driven products. This role designs durable platform architectures, sets engineering standards, and resolves the most complex scalability, reliability, governance, and cost challenges across the data ecosystem.
The **Distinguished Data Engineer** is the highest-level individual contributor (IC) data engineering role in a software or IT organization, accountable for the technical direction, integrity, and scalability of the enterprise’s data platforms and critical data products. This role exists to **design, standardize, and evolve** data engineering practices across domains, ensuring trusted, secure, cost-effective data foundations that power analytics, AI/ML, operational reporting, and customer-facing features.
A DataOps Engineer builds and operates the reliability layer for data products: the automation, deployment, observability, quality controls, and platform guardrails that keep data pipelines and datasets trustworthy in production. In a software or IT organization, this role exists to apply disciplined engineering practices (CI/CD, IaC, monitoring, incident management, SLOs) to the data ecosystem so that analytics, BI, and ML teams can move quickly without sacrificing correctness, security, or uptime.
The **Data Platform Engineer** designs, builds, and operates the shared data platform capabilities that enable reliable ingestion, storage, transformation, governance, and access to data across the company. The role focuses on creating scalable, secure, and cost-effective “paved roads” (standard patterns, infrastructure, tooling, and automation) so data producers and consumers can move faster with less risk.
The **Data Engineer** designs, builds, and operates reliable data pipelines and curated datasets that power analytics, reporting, and data-driven product features. The role converts raw, fragmented operational data into trusted, well-modeled, secure, and observable data assets that can be used at scale by analysts, data scientists, and product teams.
A Business Intelligence Engineer designs, builds, and operates the analytics layer that turns raw operational and product data into trusted, self-serve insights for decision-makers. The role sits at the intersection of data engineering, analytics, and stakeholder enablement—owning data modeling, metric definitions, dashboarding, and data quality controls that make analytics reliable and scalable.
The **Associate DataOps Engineer** supports the reliable, secure, and efficient operation of data pipelines, analytics platforms, and data products by applying DevOps-style engineering practices to data systems. This role focuses on day-to-day pipeline enablement, automation, monitoring, data quality controls, and incident response support—typically under the guidance of senior DataOps or Data Platform engineers.
The **Associate Data Platform Engineer** is an early-career individual contributor responsible for helping build, operate, and continuously improve the company’s data platform foundations—typically cloud-based storage, ingestion, orchestration, compute, and governance capabilities that enable analytics, reporting, and data products. This role focuses on reliable execution: implementing well-scoped platform features, maintaining pipelines and environments, monitoring jobs, troubleshooting incidents, and documenting operational practices under guidance from more senior engineers.
The **Associate Data Engineer** builds and operates the foundational data pipelines, datasets, and technical enablers that allow analytics, reporting, and data products to work reliably at scale. This is an **early-career, hands-on engineering role** focused on implementing well-defined pipeline tasks, improving data quality, and learning production-grade data engineering practices under the guidance of senior engineers.
The **Associate Business Intelligence Engineer** (Associate BI Engineer) builds and maintains reliable, well-modeled analytics assets—dashboards, reports, semantic layers, and curated datasets—that help teams make timely and accurate business decisions. This role sits at the intersection of data engineering, analytics, and stakeholder enablement, translating business questions into governed, performant, self-service BI solutions.
The Staff FinOps Engineer is a senior individual contributor in the Cloud Economics department who designs, builds, and operationalizes the technical capabilities required to measure, allocate, forecast, and optimize cloud spend—without compromising reliability, security, or product delivery velocity. This role bridges engineering execution with financial accountability by turning cloud billing data into actionable unit economics, guardrails, and automation that teams can use daily.
The Senior FinOps Engineer is a senior individual contributor in the Cloud Economics department responsible for engineering-driven cloud financial management: turning raw usage and billing data into actionable insights, automated controls, and measurable cost efficiency outcomes. This role blends cloud platform expertise, data engineering, and stakeholder influence to ensure cloud spend is transparent, governed, forecastable, and continuously optimized without compromising reliability, security, or delivery velocity.
The **Principal FinOps Engineer** is a senior individual contributor who designs and operationalizes the engineering systems, data pipelines, governance mechanisms, and automation required to **optimize cloud spend while protecting reliability, performance, and delivery speed**. This role converts cloud cost management from ad hoc reporting into a repeatable, product-like capability: measurable unit economics, actionable optimization backlogs, automated guardrails, and executive-ready forecasting.
The **Lead FinOps Engineer** is a senior engineering role within **Cloud Economics** responsible for building and operating the technical capabilities, governance mechanisms, and decision support systems that optimize cloud spend while protecting performance, reliability, and delivery speed. The role blends software engineering, cloud platform knowledge, data/analytics, and financial operations to create sustainable cost transparency and continuous optimization across teams.
The **Junior FinOps Engineer** supports the Cloud Economics function by helping the organization **measure, allocate, optimize, and govern cloud spend** across teams and products. This role blends **data analysis, cloud billing mechanics, lightweight automation, and stakeholder support** to turn raw usage and billing data into actionable insights and cost controls.
A **FinOps Engineer** enables a software or IT organization to **understand, allocate, forecast, and optimize cloud spend** through a combination of engineering, data, and cross-functional operating practices. The role blends **cloud billing expertise, automation, and stakeholder enablement** to ensure teams can scale usage while maintaining cost efficiency and financial accountability.
The Associate FinOps Engineer is an early-career engineering role within the Cloud Economics function, focused on improving the cost efficiency, cost visibility, and financial governance of cloud usage. The role combines technical analysis (cloud billing/usage data, tagging, automation) with operational execution (reporting, optimization tracking, anomaly triage) to help engineering teams spend intentionally and predictably.
The Staff Platform Engineer is a senior individual contributor (IC) who designs, builds, and evolves internal platform capabilities that make software delivery and operations safer, faster, and more reliable at scale. The role focuses on enabling product engineering teams through self-service infrastructure, paved roads, reusable templates, and reliable runtime platforms, while reducing operational toil and platform risk.
The Senior Platform Engineer designs, builds, and operates the internal platform capabilities that enable product and service teams to ship software reliably, securely, and efficiently. This role focuses on creating paved roads (“golden paths”) for application delivery—standardized infrastructure, CI/CD, observability, runtime, and self-service workflows—so engineering teams can move fast without sacrificing resilience or compliance.
The **Principal Platform Engineer** is a senior individual contributor responsible for designing, evolving, and governing the internal platform that enables product engineering teams to build, ship, and operate software safely and efficiently at scale. This role owns the technical direction of platform capabilities (e.g., compute, Kubernetes, CI/CD, observability, developer workflows, service networking, secrets, policy-as-code) and ensures they are delivered as reliable, secure, self-service products.
A **Platform Engineer** designs, builds, and operates the internal platform capabilities that enable application teams to deliver software safely, reliably, and quickly. The role focuses on creating self-service infrastructure, paved paths, deployment workflows, and operational guardrails that reduce cognitive load for product engineers while improving reliability, security, and cost efficiency.
The Lead Platform Engineer is a senior individual-contributor (IC) and technical leader responsible for designing, building, and operating a reliable internal platform that enables product engineering teams to ship software safely and quickly. This role sits in the Cloud & Platform department and blends platform architecture, DevOps/SRE practices, automation engineering, and cross-team leadership to reduce friction in software delivery while improving security, reliability, and cost efficiency.
The **Junior Platform Engineer** is an early-career engineering role within the **Cloud & Platform** department focused on building, operating, and improving the internal platforms and foundational infrastructure that enable product teams to ship software safely and efficiently. The role typically supports senior platform engineers by implementing well-scoped automation, maintaining CI/CD and infrastructure components, and contributing to reliability and security hygiene through repeatable operational practices.
A **Distinguished Platform Engineer** is a top-tier individual contributor (IC) responsible for defining, evolving, and governing the company’s platform engineering strategy across cloud infrastructure, developer experience, runtime platforms, and operational excellence. The role combines deep technical authority with cross-organization influence to ensure internal platforms are reliable, secure-by-default, and product-minded—accelerating software delivery while reducing operational risk and cost.
The Associate Platform Engineer is an early-career engineering role within the Cloud & Platform organization responsible for building, operating, and continuously improving the internal platform capabilities that enable product teams to deliver software safely, reliably, and efficiently. This role focuses on implementing well-defined platform patterns (e.g., CI/CD templates, Infrastructure as Code modules, Kubernetes primitives, observability integrations) and supporting day-to-day platform operations under guidance from senior engineers.
A **Systems Reliability Engineer (SRE)** designs, builds, and operates the reliability mechanisms that keep cloud platforms, infrastructure services, and production systems stable, performant, and recoverable. The role blends software engineering, systems engineering, and operations to reduce toil, prevent incidents, and shorten recovery time when failures occur.
The Storage Engineer designs, implements, and operates enterprise storage capabilities that reliably serve application, platform, and data workloads across on-premises and cloud environments. This role exists to ensure storage services meet performance, availability, scalability, security, and cost objectives—while enabling engineering teams to ship products without storage becoming a constraint or risk. The Storage Engineer creates business value by reducing downtime and incident impact, improving data protection and recovery posture, standardizing storage services, and optimizing spend through right-sizing, tiering, and automation.