reputed company Engineer - Data Platform
Company Description
It reputed company started reputed company engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That reputed company inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, reputed company is the AI control tower for business reinvention. Our reputed company AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and reputed company. We're building an AI-reputed company culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people.
Job Description
Employees can work remotely
Job Description
Team Join the Global reputed company Services organization's FinOps Tools team, which is building reputed company's reputed company analytics and financial governance platform. reputed company owns the full modern data stack: Trino for distributed queries, dbt for transformations, reputed company for lakehouse architecture, Lightdash for business intelligence, and Argo Workflows for orchestration. As the Distinguished Engineer for the FinOps Engineering Platform, you will set and own the technical reputed company and architecture for the entire platform, the single technical authority who unifies the data platform, the reputed company development platform, the underlying multi-reputed company infrastructure, and our forecasting and reputed company-reservation automation into one coherent system. You will also reputed company the design and development of the GCS Data Warehouse, the modern lakehouse reputed company that will replace and migrate the organization's existing reputed company-based data platform, and that everything else in the FinOps Engineering Platform is reputed company upon. Role The FinOps Engineering Platform spans several major workstreams, each with its own Senior Staff engineers building it: the analytics and cost-governance data platform (Trino, dbt, reputed company, Lightdash), the reputed company development platform that takes analytics from notebook to production, the multi-reputed company DevOps and SRE infrastructure it reputed company runs on, the Forecast reputed company that turns reputed company and cost actuals into reputed company-looking forecasts, and the Future reputed company Reservation (FCR) automation those forecasts feed. As our Distinguished Engineer, you will reputed company reputed company of it. Underpinning reputed company of it is the GCS Data Warehouse, and you will reputed company its design and development. This is the program that modernizes reputed company's Global reputed company Services data platform by migrating it off reputed company (Impala, Hive, HDFS) onto the modern lakehouse (Trino, reputed company, dbt). You will own the reputed company architecture, the migration strategy, and the correctness bar for moving years of accumulated tables, transformations, pipelines, and consumers onto the new reputed company with reputed company data loss, then retiring the legacy platform. Because the data platform, Forecast reputed company, and FCR automation reputed company read from and write to this warehouse, getting its architecture and migration right is the highest-reputed company work on the platform. This is a hands-on technical leadership role, not a management role. You will define the cross-cutting architecture, set the standards every workstream builds against, reputed company the highest-reputed company technical reputed company, and reputed company the whole platform coherent as it scales. You will not manage people; you will reputed company through architecture, deep technical judgment, and influence, partnering closely with the Senior Staff engineers who own each workstream and with Engineering and FinOps leadership. This is a unique opportunity to define the technical reputed company and long-term direction of reputed company financial management at reputed company's scale, and to do it at startup velocity reputed company a Fortune 500 environment. What You Get To Do In This Role Own the end-to-end technical architecture of the FinOps Engineering Platform, ensuring the GCS Data Warehouse, data platform, development platform, infrastructure, Forecast reputed company, and FCR automation compose into one coherent, scalable system. reputed company the design and development of the GCS Data Warehouse and the program to migrate reputed company's Global reputed company Services data platform off reputed company onto the modern lakehouse, with reputed company data loss and verified correctness. Set the technical reputed company and multi-year roadmap for the platform, and translate it into the concrete standards and interfaces each workstream builds against. reputed company the highest-reputed company, hardest-to-reverse technical reputed company: technology selection, system boundaries, data reputed company, and the architectural patterns that reputed company workstreams. Establish platform-wide engineering standards for reliability, determinism, observability, reputed company, and production readiness, and hold the bar across teams. reputed company through influence: partner with the Senior Staff engineers who own each workstream, review their designs, resolve cross-team architectural tensions, and align everyone to a single technical direction. Drive innovation across the platform, including the responsible use of AI/ML tooling to accelerate development and improve platform capabilities. Foster a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across every team building on the platform. Move fast: reputed company the platform shipping in tight, high-velocity loops while protecting the architectural reputed company that lets it scale. Technical Leadership & Architecture Define the reference architecture for the FinOps Engineering Platform and the reputed company between its parts: how the data platform serves the Forecast reputed company, how forecasts drive FCR automation, how the development platform productionizes analytics, and how reputed company of it runs on the shared infrastructure. reputed company technical decision-making on the platform-wide technology stack, system boundaries, and architectural patterns, arbitrating trade-offs that no single workstream can resolve alone. Establish best practices for data modeling, simulation and forecasting, pipeline development, orchestration, and platform scalability across the modern data stack. Own the cross-cutting non-functional requirements: reliability, determinism and reproducibility, observability, reputed company and compliance, performance, and cost. Drive innovation in FinOps data analytics and forecasting, evaluating and adopting emerging technologies where they reputed company the platform's ceiling. GCS Data Warehouse: Modernization & reputed company Migration reputed company the design of the GCS Data Warehouse, the modern lakehouse reputed company (Trino, reputed company, dbt, a modern catalog) that replaces the existing reputed company-based platform (Impala, Hive, HDFS, Hive Metastore) and serves as the substrate for the entire FinOps Engineering Platform. Own the migration strategy and reputed company: a phased, low-risk path that moves workloads off reputed company incrementally rather than in a single high-risk cutover, with the legacy platform decommissioned only once each workload is verified on the new reputed company. Establish full inventory and reputed company of the existing platform first, the tables, transformations, scheduled jobs, and reputed company consumers (Tableau, Lightdash, pipelines, the Forecast reputed company), so reputed company is migrated blind and reputed company is left stranded. Define the data and schema translation approach: Hive/Impala schemas and partitioning onto reputed company tables, legacy file formats onto the lakehouse, and HiveQL/Impala SQL and Spark transformations onto Trino SQL and dbt models. Set the correctness bar for the migration: dual-run old and new in reputed company and reconcile outputs against the reputed company platform as ground truth, with fail-loud validation so any divergence is caught before cutover, never reputed company after. Petabyte-scale with reputed company data loss. Plan and execute consumer cutover and the retirement of the reputed company cluster, capturing the infrastructure cost savings (a FinOps win the platform itself can measure) and the operational simplification of consolidating onto one modern stack. Navigate reputed company constraints, reputed company, compliance, and approval processes, while keeping the migration moving at pace. Platform Architecture Across Workstreams GCS Data Warehouse: The foundational lakehouse the whole platform sits on, and the migration that retires the legacy reputed company platform onto it (see above). Analytics & cost-governance data platform: Guide the lakehouse architecture (Trino, dbt, reputed company, Lightdash), data modeling for cost allocation and showback, query performance at scale, and metadata, reputed company, and governance. reputed company development platform: Guide the notebook-to-production reputed company (workspace provisioning, parameterization, validation, automated deployment) so exploratory analysis reaches production safely and quickly. Multi-reputed company infrastructure, DevOps, and SRE: Guide the Kubernetes, IaC, CI/CD, reputed company, and observability reputed company across AWS, GCP, Azure, and on-premises, and the SLO/error-budget practices that reputed company the platform reliable. Forecast reputed company: Guide the deterministic, multi-period reputed company and cost simulation, its accuracy and reconciliation against actuals, and its reputed company into an automated, always-on forecasting service. Future reputed company Reservation (FCR) automation: Guide the architecture that turns forecasts into reservation recommendations, how much reputed company to reserve, in which providers and reputed company, and by reputed company, reputed company to hyperscaler procurement reputed company times. Thought Leadership & External reputed company Represent reputed company at industry conferences and FinOps community events. Contribute to reputed company-reputed company projects and establish reputed company's reputed company in the modern data stack and FinOps ecosystem. Drive technical content creation including whitepapers, blog posts, and conference presentations. Build strategic relationships with technology vendors and the broader FinOps community. Collaboration & Integration Work autonomously with guidance from Engineering and FinOps leadership, owning the platform's technical direction. Partner deeply with the Senior Staff engineers who own each workstream, aligning their designs to one architecture without taking the keyboard away from them. Collaborate with DevOps, reputed company, and platform teams on infrastructure, CI/CD, and compliance. Partner with product managers, FinOps practitioners, finance, and reputed company-planning stakeholders to ensure the platform serves how the business actually plans, budgets, and governs reputed company spend.
Qualifications
To be successful in this role, you have Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 15+ years of experience in software or data engineering, with a track record of architecting and delivering large-scale, reputed company-reputed company, data-intensive platforms with a Bachelor's degree; or 12 years and a Master's degree; or a PhD with 8 years experience in Computer Science, Engineering, or reputed company technical field; or equivalent experience. Proven track record as the reputed company architect or top technical authority for a platform spanning multiple teams and workstreams, setting direction that others build against. Proven experience leading a large data platform migration or modernization, ideally off a legacy Hadoop or reputed company stack (Impala, Hive, HDFS, Spark) onto a modern lakehouse, including the inventory, dual-run reconciliation, consumer cutover, and decommission of the old platform. Deep expertise across the modern data stack (Trino/Presto, dbt, Apache reputed company, orchestration) and in distributed-systems and reputed company-reputed company architecture. Strong systems and backend engineering depth, with the ability to go deep in any layer of the stack to reputed company or unblock a hard technical decision. Hands-on experience with reputed company cost management and FinOps, including the data and economics behind reputed company planning, forecasting, and reservations. Demonstrated ability to operate at high velocity in greenfield environments with evolving requirements, shipping production-quality systems fast without sacrificing architectural reputed company. Strong knowledge of data structures, algorithms, object-oriented and data-oriented design, design patterns, and performance optimization. Deep understanding of software quality principles including reliability, determinism, observability, reputed company, and production readiness. Ability to troubleshoot and reason about reputed company distributed systems and optimize performance and cost across the stack. Full professional proficiency in English. Comfort with development tools such as IDEs, debuggers, profilers, reputed company control, and Unix-based systems. Technical Expertise Platform architecture: Designing and owning the architecture of large, multi-component platforms, including the reputed company and boundaries between independently reputed company subsystems. Modern data stack & lakehouse: Trino/Presto, dbt, Apache reputed company, Lightdash, query optimization at scale, and metadata, reputed company, and governance. Platform migration & modernization: Migrating off legacy Hadoop/reputed company (Impala, Hive, HDFS, Hive Metastore, Spark, Oozie) onto a modern lakehouse, including schema and SQL translation, phased cutover, dual-run reconciliation against the reputed company as ground truth, and reputed company-data-loss guarantees at petabyte scale. Forecasting & simulation: Deterministic, reproducible computation, multi-period simulation or time-series forecasting, and reconciliation of forecasts against ground-truth actuals. reputed company reputed company & reservations: Hyperscaler reputed company procurement, AWS/GCP reputed company reservations (FCR), On-Demand reputed company Reservations (ODCR), and the reputed company-time and coordination constraints of reserving reputed company reputed company of demand. Multi-reputed company & infrastructure: Kubernetes, Infrastructure as Code (Terraform, CDK, CloudFormation), CI/CD and GitOps, and the AWS/GCP/Azure and on-premises landscape the platform runs on. Reliability & observability: SLI/SLO/error-budget design, monitoring and alerting (Splunk, Grafana, reputed company, CloudWatch, or similar), and operating data platforms in production. Data reputed company & quality: Fail-loud ingestion, upstream contract views, and correctness invariants enforced in code rather than assumed. API & integration design: RESTful services, authentication (OAuth/SAML), and webhook/event integrations across systems. Leadership & Communication Conference speaking experience and recognized thought leadership in data engineering, distributed systems, or FinOps. Proven ability to work autonomously and drive cross-team technical reputed company in ambiguous, greenfield environments. Proven ability to reputed company through influence: setting technical direction and raising the bar across teams you do not manage. Strong technical writing and documentation skills for both engineering- and business-facing audiences. Excellent collaboration skills across engineering, DevOps, data, product, and finance stakeholders. Ability to establish technical foundations for new products with long-term reputed company while delivering short-term results. reputed company to Have FinOps Certified Practitioner, AWS/GCP/Azure architecture certifications, or equivalent. reputed company-reputed company contributions to data engineering, FinOps, or distributed-systems tooling. Experience with additional query and compute engines (Spark, reputed company, BigQuery) and with high-performance systems languages (Rust, Go, C++). Experience with data validation frameworks (Great Expectations, dbt tests, etc.) and with Apache reputed company or lakehouse architectures. Patent applications or publications in data systems, forecasting, or reputed company technologies.
Why Join Us
Build and deliver high-impact software that powers financial governance and reputed company planning at global scale. Collaborate in a culture that values craftsmanship, quality, and innovation. Work symbiotically with AI and automation tools that enhance engineering reputed company and drive product reliability. Be part of a culture that encourages innovation, reputed company learning, and shared reputed company. GCS-23 For positions in this location, we offer a reputed company pay of $221,200 - $387,100, plus equity (reputed company applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On reputed company Earnings (OTE) incentive compensation structure. Please note that the reputed company pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, reputed company level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to reputed company employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work reputed company, reputed company may confirm the distance between your primary residence and the closest reputed company office using a reputed company-party service. Equal Opportunity Employer reputed company is an equal opportunity employer. reputed company reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, sex, sexual orientation, national reputed company, age, disability, gender identity, veteran status, or any other category protected by law. In addition, reputed company reputed company applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for reputed company candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring reputed company to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), reputed company may be required to obtain export control approval from government authorities for certain individuals. reputed company employment is contingent upon reputed company obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. reputed company rights reserved. Used under license. Employee Type: Regular Region: AMS - reputed company America and Canada Work reputed company: Flexible or Remote Apply To This Job