Data Platform Engineer Jobs

About the role Adobe’s Security Data Platform team builds and operates a petabyte-scale security data lakehouse that turns enterprise telemetry into trusted data for threat detection, investigations, compliance, and security analytics. As a Staff Security Data Engineer, you will own full-system designs and lead critical engineering initiatives across ingestion, storage, governance, orchestration, and data serving. This is a hands-on individual contributor role: you will write and review production code, build infrastructure, define test strategy, fix complex failures, and work with other engineers to deliver the architecture you help shape. You will partner with Security Operations, Threat Intelligence, Compliance, Security Engineering, and infrastructure teams to resolve technical tradeoffs and deliver reliable, cost-effective platform capabilities. Your impact will come through engineering delivery, sound architectural decisions, and helping others become stronger technical leaders. Help us evolve our team from petabyte scale toward exabyte scale! Core responsibilities Platform architecture and engineering Own end-to-end designs that shape the Security Data Platform’s fundamental architecture on Databricks and AWS, using Spark, Delta Lake, and Unity Catalog. Translate ambiguous needs into design proposals, implementation plans, and production capabilities. Build and evolve distributed batch and streaming pipelines for EDR telemetry, network logs, identity events, cloud audit logs, and new security data sources. Design for throughput, fault tolerance, replay, schema evolution, and sub-minute freshness where use cases require it. Write maintainable Python and SQL, develop complex platform features, and refactor unreliable code. Establish reusable engineering patterns, lead code and design reviews, and own test strategy and automation choices across pipelines and infra

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure Cloud Azure Native is a generally available service that brings enterprise-grade block storage natively to Azure. With the first version already live, we are expanding the service into new use cases and markets while improving its reliability, operability, and customer experience. Our Foundation team owns a Go-based control-plane service that coordinates how customers provision and use storage in Azure. Around it, we work with a modern cloud stack including Temporal and other platform services for workflows, automation, and observability. This is a production cloud service: the code you write directly shapes how customers deploy, scale, and operate storage in their Azure environments. You’ll work on a core storage service in a major public cloud , as part of a joint effort between Everpure and Microsoft. You’ll design and evolve APIs and service behavior in the critical path of real customer workloads, collaborating closely with engineers across both companies. Clear API contracts, long-lived interfaces, test automation, and CI/CD are fundamental to how we build. You’ll have the opportunity to own services end to end and solve complex distributed-systems problems in the public cloud. WHAT YOU'LL DO Own and evolve a production cloud service that powers Everpure Cloud Azure Native, taking features from idea and design through deployment and operation in Azure for real customers. Build new capabilities and i

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role As an ML Platform Engineer at Stitch Fix, you will play a key role in building and maintaining the critical infrastructure that powers machine learning and AI across our organization. You will design, develop, and support scalable, resilient services and frameworks for ML model training and deployment, feature engineering and serving, candidate generation, AI agent deployment and observability, and other core platform capabilities. In this role, you'll contribute to the day-to-day operations of the ML Platform team, ensuring the smooth functioning of existing systems while driving improvements. You’ll collaborate closely with full-stack data scientists, offering consultation and support to help them unlock the full potential of our platform. With significant autonomy, you’ll have the opportunity to shape the future of ML and AI at Stitch Fix. Your ideas and expertise will drive improvements, codify best practices, and influence how we approach machine learning and AI systems at scale. Responsibilities: Collaborate with cross-functional teams, including data scientists, engineers, and business partners, to solve complex distributed systems and business challenges at scale. Be part of a team with high visibility across the organization, driving impactful solutions that make a difference. Share your ideas and help guide the team’s investments toward high-value opportunities. Foster a culture of technical collaboration and contribute to the development of scalable, resilient systems. About You You bring

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Platform Services team is at the core of accelerating Addepar’s platform scalability, elasticity, and global expansion. We play a pivotal role in driving innovation and standards for building distributed services and on-demand environments to meet the rapid scale of Addepar’s growth. Working at the critical intersection of application, infrastructure, and operations teams, we promote developer velocity and robust process automation. Working with a healthy mix of new technologies and existing core applications, the team thrives on solving complex challenges to deliver high-impact solutions. If you're passionate about creating true engineering leverage, this is the team for you. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Work with teams across the organisation to: Develop resilient distributed services and high quality tooling to support product operations and engineering Investigate and debug complex issues that span across teams and applications Drive software delivery and improve the engineering processes we use to develop and release software Who You Are Comfortable working independentl

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Position Overview The AI Platform Engineer builds and operates the machine learning and generative AI platform used by teams across Abbott Cancer Diagnostics. You'll own the full model lifecycle in production — data and feature pipelines, training and experimentation, evaluation and promotion, serving, and monitoring — along with the platform services, compute and tooling underneath it. This is hands-on infrastructure work backed by solid platform engineering practice: making inference fast and cheap, making the path from experiment to production repeatable and auditable, and shipping interfaces other engineers can build on — in support of software that ultimately reaches patients. Essential Duties Include, but are not limited to, the following: Build and maintain data, feature, and training pipelines for ML and LLM workloads — ingestion, transformation, fine-tuning, distributed training, and reproducible experiment execution with lineage tracked from dataset and code to resulting model. Implement automated evaluation and promotion gates — performance benchmarks, regression checks, and validation criteria that determine whether a model advances toward production. Automate the model lifecycle end to end through CI/CD and GitOps: packaging, promotion across environments, progressive rollout, and rollback. Build and operate production model-serving infrastructure for LLMs and predictive models, including inference optimization, autoscaling,

Cloud Platform Engineer Team: Platform Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditised, it's the quality and diversity of human-generated data that truly differentiates products and models. The role Our Cloud Platform team empowers developers to build and deploy their applications swiftly, securely, and seamlessly. As a Senior Cloud Platform Engineer, you'll be deep in Prolific's technical foundation, ensuring our infrastructure remains scalable, reliable, and ready for growth. You'll implement automation strategies that reduce complexity, champion best practices, and serve as a trusted technical expert to teams across Prolific. What you’ll bring to the role Extensive experience administering and optimising large-scale Kubernetes clusters Strong experience with Kubernetes tooling, such as Helm and kustomize Strong experience with GitOps tooling and methodologies, such as ArgoCD Proven experience with Google Cloud Platform services and architecture Strong knowledge in GKE and Kubernetes, including maintenance and optimisation of production clusters Strong experience with Terraform for infrastructure provisioning and automation Solid programming skills in Python and/or TypeScript Experience creating developer-focused documentation and self-service solutions that enable teams to easily self-serve Strong customer empathy, with a focus on supporting the needs of internal teams (our Prolificos) What you’ll be doing in the role Manage and optimise our Kubernetes clusters in GKE through Terraform Support our compliance with SOC2, ISO-27001, and Cyber Essentials standards in our cloud environments Design and implement golden paths and automation strategies that empower developers to self-serve while reducing operational complexity Create and m

Opportunity Overview: We are seeking a Senior Data Engineer to contribute to the design and delivery of our cloud-native healthcare data platform. You will implement scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines strong hands-on engineering with collaboration across platform, analytics, and business teams. What You'll Do Data Engineering Delivery Deliver complex data engineering projects in collaboration with cross-functional teams Drive technical execution from design through production deployment Implement scalable data patterns and reusable frameworks Design and implement batch and near-real-time pipelines Build reusable ingestion, transformation, validation, and publishing frameworks Support modernization of legacy workloads Contribute to Apache Iceberg implementation and optimization Apply standards for schema evolution, partitioning, compaction, and metadata management Ensure efficient storage and query performance Implement data quality frameworks and validation layers Support observability and monitoring practices Contribute to operational excellence and reliability improvements Participate in architecture and design discussions Conduct and participate in code reviews Mentor junior engineers and share best practices ISMS roles and responsibilities Good knowledge of Information security Oversee specific business processes within the ISMS. Responsible to manage the ISMS documentation, conduct risk assessments, and implement risk treatment plans. Risk Owners are responsible for identifying, assessing, and managing risks within their areas of responsibility. They are also responsible for implementing risk treatment plans. Conduct the BCP and other test related to information security continuity along with CISO Responsible for monitoring and reporting on the performance of the ISMS. Responsible for implementation of security policies and procedures and report

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Team Snorkel's Platform organization owns the infrastructure and services that power everything at Snorkel — the pipelines, evals, access layers, event systems, governance, compute, and agent infrastructure that every product team and customer deployment depends on. We're a small team with a large surface area, and we're in the middle of a foundational architecture shift: moving from a single-database data path to a multi-source, event-driven agent first platform. The decisions being made now will define how our platform scales for years. You will be making them. About the Role We're looking for Platform Engineers who combine strong infrastructure chops with real backend engineering depth. You'll build and operate the systems, services, and agent infrastructure that let product teams move fast and reliably — from data access layers and event-driven pipelines to the agent first architecture that will transform our ability to scale. Your work will directly allow us to scale the amount of high quality data we are able to deliver to our customers. We are looking to grow our team of Platform Engineers, and are hiring at multiple levels. What You'll Do Design and build agent infrastructure that allows us to safely and reliably speed up workflows from engineering and operation teams Design and implement event-driven data flows using event brokers, CDC connectors, schema registries, event routing, and dead letter queues — ensuring events flow reliably

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is growing quickly. You will play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features, while also balancing scalability, reusability, and performance. Role Overview: We're looking for a Staff Platform Engineer to serve as the technical backbone of our Engineering organization. You'll own the technical strategy, and delivery of our platform — spanning architecture, DevOps, SRE, security, Dev-ex. This is a hands-on staff level role: you'll set technical direction, drive cross-team alignment, and be the senior escalation point for platform challenges. What you’ll do: Drive platform reliability, scalability, security, and cost efficiency across all environments. Technical Leadership: Provide technical leadership for platform components, Influence the technical strategy and architecture of our cloud platform, from CI/CD pipelines to observability and incident response. Design and implement platform components and reusable integration patterns that minimize custom development efforts, reduce the time spent on repetitive tasks, and ensure that integrations scale across multiple healthcare systems Partner closely with Architecture, DevOps, SRE, and Security teams to deliver cohesive platform solutions Cross-Functional Collaboration: Work closely with product teams, and solutions architects to understand integration needs and ensure the platform meets current and future business requirements. Serve as a senior escalation point for infrastructure and platform incidents Establish frameworks for: AI governance and compliance. Observability of systems. Traceability of decisions and outputs. Ensure enterprise readiness with security, auditability, and reliability in production environments. Security & Compliance : Ensure all p

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Platform Engineer on Palantir's Identity Platform team, you will design, build, and operate secure-by-design identity infrastructure and tooling. You will make identity governance and access management easier and more secure to implement for Palantirians and customers worldwide. As part of Palantir's best-in-class Information Security organization, you will research, implement, and scale innovative solutions that help Palantir stay ahead of a dynamic threat landscape. You will help the team build the next-generation identity platform that treats agents and workload identities as first-class principals: the access graph that makes entitlements legible, the policy engine that makes authorization enforceable and auditable, and the token-issuance layer that keeps access short-lived, scoped, and least-privilege by default. Your work will shape the arc of these components from design to production. You will join the high-performing Identity Platform team, engineers who are passionate about delivering identity outcomes at scale that reduce risk and friction. The team builds and operates the identity platforms that serve both corporate and production (customer-facing) infrastructure, and the paved-road tooling and secure baselines that teams across Palantir deploy on. Your goal will be to make the secure path the easy path. Your work will directly strengthen the identity substrate beneath Palantir's most critical deployments, from a globally distributed workforce to regulated and air-gapped environments. Core Responsibilities Develop automation and tooling for corporate and customer-facing identity platforms Build, secure, and manage geo-r

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Platform Engineer on Palantir's Identity Platform team, you will design, build, and operate secure-by-design identity infrastructure and tooling. You will make identity governance and access management easier and more secure to implement for Palantirians and customers worldwide. As part of Palantir's best-in-class Information Security organization, you will research, implement, and scale innovative solutions that help Palantir stay ahead of a dynamic threat landscape. You will help the team build the next-generation identity platform that treats agents and workload identities as first-class principals: the access graph that makes entitlements legible, the policy engine that makes authorization enforceable and auditable, and the token-issuance layer that keeps access short-lived, scoped, and least-privilege by default. Your work will shape the arc of these components from design to production. You will join the high-performing Identity Platform team, engineers who are passionate about delivering identity outcomes at scale that reduce risk and friction. The team builds and operates the identity platforms that serve both corporate and production (customer-facing) infrastructure, and the paved-road tooling and secure baselines that teams across Palantir deploy on. Your goal will be to make the secure path the easy path. Your work will directly strengthen the identity substrate beneath Palantir's most critical deployments, from a globally distributed workforce to regulated and air-gapped environments. Core Responsibilities Develop automation and tooling for corporate and customer-facing identity platforms Build, secure, and manage geo-r

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. Core Responsibilities Develop automation and tooling for corporate and customer-facing identity platforms Build, secure, and manage geo-redundant containerized services (EKS and ECS) in AWS and Azure Scale the implementation of Single Sign-On (SSO) integrations across multiple Entra ID tenants using infrastructure-as-code frameworks Build tooling to standardize and scale operational workflows across AWS, Azure, and Google Cloud Platform (GCP) Extend the identity platform to non-human identities, treating workloads and AI agents as first-class principals with scoped, short-lived credentials Build the governance layer: an access graph that makes entitlements legible and a policy engine that makes authorization decisions enforceable and auditable Design token-issuance and federation flows that make least-privilege, ephemeral access the default Research and drive adoption of emerging authentication and session security standards (such as device-bound session credentials and continuous access evaluation) in collaboration with Security Engineers Pressure-test designs and partner with Identity Security Engineers to threat model implementations before they ship Partner with Security Compliance Engineers to build services that reduce the cost and complexity of compliance enforcement What We Value Technical proficiency in identity protocols (SAML, OIDC, OAuth 2.0, LDAP, Kerberos, FIDO2, WebAuthn) Experience managing identities and governance workflows on platforms such as Entra ID, Keycloak, AWS Cognito, or Okta Experience with policy engines and

Opportunity Overview: We are seeking a Lead Data Engineer to drive the design and delivery of our cloud-native healthcare data platform. You will lead the implementation of scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines deep hands-on engineering with technical leadership and collaboration across platform, analytics, and business teams. What you’ll do: Lead Data Engineering Initiatives Lead delivery of complex data engineering projects across multiple teams Drive technical execution from design through production deployment Establish scalable implementation patterns Build and Optimize Data Platforms Design and implement batch and near-real-time pipelines Build reusable ingestion, transformation, validation, and publishing frameworks Support modernization of legacy workloads Lakehouse Engineering Lead Apache Iceberg implementation and optimization Define standards for schema evolution, partitioning, compaction, and metadata management Ensure efficient storage and query performance Data Quality and Reliability Implement data quality frameworks Drive observability and monitoring practices Improve operational excellence and reliability Technical Leadership Review architecture and design proposals Conduct code reviews and engineering reviews Mentor engineers and establish best practices ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. Required Qualifications: 8–12 years of Data Engineering experience. Experience leading enterprise-scale data initia

NVIDIA's Digital Marketing Operations team is seeking a Senior Data Engineer to help build the shared data infrastructure that powers customer engagement, campaign intelligence, and marketing analytics at scale. Our data platform transforms customer behavioral signals, audience definitions, consent records, campaign metadata, and activation outputs into trusted, governed data products for marketing, analytics, personalization, campaign operations, and regional teams worldwide. These products enable audience segmentation, campaign performance measurement, privacy-compliant data activation, identity resolution, and the continued growth of NVIDIA's marketing technology ecosystem. We would love for you to apply today! What You'll Be Doing: Own a key data domain within Digital Marketing Operations, spanning pipelines, data products, audience services, and consumer teams. Shape its architecture and interfaces while anticipating needs related to scale, reliability, performance, privacy compliance, security, cost, and compatibility. Lead complex, cross-functional initiatives. Collaborate across engineering, marketing, and operations stakeholders to translate requirements into clear data architectures, write high-quality code in the critical path, and drive integrations safely into production. Architect, implement, and evolve batch and streaming pipelines that ingest, transform, reconcile, and serve customer behavioral, audience, campaign, consent, and activation data at scale. Build reliable, maintainable systems leveraging distributed processing frameworks, workflow orchestration tools, cloud data warehouses, object storage, and pub/sub messaging platforms. Build and evolve shared data quality frameworks and engineering standards that improve pipeline reliability, consistency, and efficiency across teams. Lead production incident investigations across pipelines, distributed processing, storage, an

Data Platform & Analytics Manager – Millennium Space Systems Company: Millennium Space Systems Millennium Space Systems, a part of Boeing Defense, Space and Security (BDS), is a fast, agile small satellite company focused on national security space. Our missions have direct impact to global security, like missile warning and Earth observation. Our team is curious, bold and innovative. We take risks, innovate and explore new techniques and technologies. We influence change because we challenge the status quo. And when we watch our satellites launch, we know each one of us made it happen. Job Summary: The Data Platform & Analytics Manager is responsible for managing a team of experienced data engineers, scientists, and analysts. Develops and executes project and process plans, implements policies and procedures and sets operational goals. Acquiring resources for projects and processes provides technical management of suppliers and leads process improvements. Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports. Provides vision, oversight, and approval of technical approaches, products and processes. Manages, develops and motivates employees. This is an onsite role in our office in El Segundo, CA. This position’s internal job code is Data Science & Analytics Manager. Our team is currently hiring for a level K. Position Responsibilities: Team Leadership - Recruit, coach, and retain a high-performing team of data platform architects, data scientists, analytics/ML engineers, and BI analysts Enterprise Data Platform Ownership - Serve as technical authority for the data platform systems Process & Del