Lead Data Implementation Specialist Jobs

*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:0fbc0e63-7a29-4549-b136-67f3c3174a55-0" data-turn-id-container="request-WEB:0fbc0e63-7a29-4549-b136-67f3c3174a55-0" data-testid="conversation-turn-2" data-turn="assistant"> About the job Own verification that turns complex silicon architecture into reliable AI compute hardware. As a Silicon Verification Engineer, you will help ensure Graphcore RTL matches the architecture specification. Your work will protect silicon quality before designs move into physical implementation. You will sit where architecture, logical design and verification meet. You will directly influence how issues are found, understood and resolved before they become costly. You will plan verification, define coverage, generate tests and diagnose failures. You will also improve shared infrastructure that helps engineers move faster and identify problems earlier. The work is technically deep, with clear impact on our silicon. You will help build the discipline, pace and quality needed for ambitious AI compute programs at scale. The team and culture The verification team works closely with Architecture, Logical Design and Physical Design. Clear plans, coverage goals, test results and direct technical feedback shape the work. You will take ownership, follow evidence and keep communication open across sites. The team values people who speak up early and make complex problems easier to solve. Decisions are driven by technical reasoning, shared data and practical trade-offs. You will have room to lead through your expertise, not just your title. What we're looking for Verification experience in CPU, ASIC or closely related silicon environments Experience with UVM, SVA, assembly, compilers, Git or DRMS tools Ability to plan verification work and drive functional coverage to c

Job Title: Principal Software Engineer Location: South San Francisco, CA preferred; Remote optional Job Type: Full-time About the Role We're seeking a Principal Software Engineer to join Natera's R&D team. We build the cloud infrastructure, workflow platforms, and data platforms that R&D uses to do its science - including a Kubernetes-based workflow execution platform, a custom R&D LIMS system, and a set of supporting tools that routinely handle production-scale workloads. This is a senior technical role. You'll own the full architecture, implementation, and delivery of large projects across our platform. You'll partner with the team lead on roadmap and tough technical calls, mentor mid-level engineers, and help the team find the right solution for the problem - not the most elaborate one. We're a small team (4 engineers + lead) with broad scope, and we're heavily AI-augmented: every engineer uses Claude Code / Cursor as a daily tool, and we build our own AI tooling (custom plugins, MCP servers, agents) to multiply ourselves. Responsibilities Architecture & Delivery: Own the design, implementation, and delivery of major initiatives across our platform. Take fuzzy problems through to shipped, working software used in production. Technical Leadership: Lead architecture and design reviews. Help the team find the right solution for the problem and avoid unnecessary complexity. Influence technical decisions across the team. Mentorship: Mentor mid-level engineers through code review, design docs, and pairing. Raise the engineering bar by example. AI-Native Development: Build and improve our AI-coding tooling alongside the rest of the team. Help us push the frontier of agent-driven software development inside the company. Cross-Functional Partnership: Work with bioinformaticians, scientists, and other R&D engineers to understand their needs and translate them into platform capabilities. Partner with the team lead on roadmap, prioritization, and tough te

FEQ427R313 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. Important Eligibility Requirement: Due to contractual requirements supporting U.S. Public Sector customers, this position requires U.S. citizenship. Candidates who are not U.S. citizens are not eligible for consideration. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: U.S. citizenship

Sigma is transforming how businesses run by delivering a high performance platform on the modern data architecture. As we grow the engineering team, we are looking for engineering leaders who want to build great products, devising product development, prioritization and execution strategy as well as developing a strong team providing career development, coaching, mentoring, performance evaluations, developing promotion cases, and other managerial responsibilities. About the role: We are looking for a self motivated, engineering leader eager to lead engineering teams with high performing engineers. You will need to be comfortable working in a fast-paced environment and support your teams to deliver incrementally against our roadmap. What you will be doing: Collaborate with cross-functional groups, executive team, field teams to devise business impact product strategy Enable the team to realize their potential and set them for achieving their career development goals Own execution and delivery of roadmaps, to help setup the business and your team for success Partner with the staffing team to recruit and build performing team Instill a strong sense of ownership and accountability within the team wherein members hold each other to a high bar Participate in discussions pertaining to the architecture and implementation techniques to represent, translate and optimize user directives into optimized queries You: Love working with world-class engineers, product managers, and architects to solve complex problems and enable business impact Have 5+ years of technical experience and 2+ years of people management experience Are opinionated and have great product sense make data driven decisions when unblocking the business Have hired, and developed high performing engineering teams Are curious, love to learn and to dig into new technologies to apply them when solving technical challenges Have demonstrated strong technical architecture and engineering skil

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Industry Practice Expert Banking, is a hands-on, execution-focused role within the Industry Practice environment. The role supports and operationalizes the Industry Practice strategy by turning industry expertise, data assets, and technology capabilities into concrete use cases, customer solutions, and sales enablement outcomes. The Expert operates at the intersection of industry knowledge, data, and delivery execution. Acting as the analytical and operational extension of the Industry Practice Lead, the role focuses on structuring requirements, shaping use cases, supporting solution design, and ensuring that industry initiatives move from concept to scalable implementation. This includes typical Business‑Analyst activities such as requirements analysis, process decomposition, data analysis/mapping, and validation of value assumptions. Working closely with sales, product, data science, AI, and operating unit teams, the Expert ensures that industry insights are consistently translated into practical, repeatable, and commercially relevant solutions that can be deployed across customers and regions.

About the Role The Backend Platform team is the backbone of Perplexity’s product reliability, scalability, and performance, enabling every product and AI team to build with confidence. This high‑impact group builds and maintains critical infrastructure, including backend systems for authentication, authorization, real-time data flows, service orchestration, and sandboxing, to ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime and performance, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well-architected foundation. Key Responsibilities Lead the design and implementation of our sandboxing platform to safely execute untrusted and user‑generated code while meeting strict performance and reliability requirements. Define and extend our RBAC and authorization primitives, ensuring they scale with new product capabilities and enterprise controls. Own key backend services involved in authentication and encryption flows (including BYOK‑related pieces), partnering with Security and Infra on defense‑in‑depth. Set the technical bar for backend platform design and operations, driving best practices in reliability, observability, and incident response for always‑on systems. Partner with product and AI teams to define clear platform interfaces, SLAs, and integration patterns so new features can reliably build on shared backend capabilities. Provide technical leadership across the backend platform area, mentoring other engineers and making long‑term architectural decisions that keep the foundation simple, secure, and evolvable. Qualifications Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff). Strong system design skills, with a track record of creating efficient, reliable, and scalable architectures. Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud techn

FEQ327R1 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 5+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experienc

We are looking to speak to candidates who are based in Gurugram for our hybrid working model. About the Role We are looking for a Staff Integration Engineer (Workato & API Integration) to join our GTMTech team. This strategic role will lead the design, implementation, and governance of enterprise-grade integrations that power our core business processes across GTM systems, with a primary focus on Workato-based integrations and modern API management patterns. You will own the architecture for critical integration domains such as Quote-to-Cash and other high-impact GTMTech programs, ensuring our integration landscape is scalable, secure, observable, and aligned with best practices for event-driven and API-first designs. You will partner with engineering, architecture, security, and business stakeholders to define standards, mentor other integration engineers, and drive continuous improvement in how we connect systems and data. The GTMTech team is focused on high-impact, large-scale technology programs, such as Quote-to-Cash. Our mission is to enhance company efficiency, boost profitability, and enable data-driven decision-making by streamlining systems, optimizing processes, and minimizing manual, low-value work through automation and AI. Key Responsibilities Lead the end-to-end architecture, design, and implementation of Workato-based integrations and APIs across GTM systems (e.g., Salesforce, NetSuite, HRIS, Google Workspace) with a focus on scalability, reliability, and security Define and evolve integration standards, patterns, and best practices, including canonical integration patterns, error-handling strategies, observability, and operational runbooks Design and review complex, event-driven integration workflows leveraging technologies such as Kafka or equivalent messaging platforms, ensuring robust handling of topics, producers/consumers, durability, and retry mechanisms Drive API-first and MCP-native design for GTM integrations, leveraging RESTful APIs al

The role Scale builds enterprise AI systems deployed into production. As a Staff Solutions Architect, you lead technical execution on the most complex and highest-value enterprise opportunities in your vertical, and you set the technical standard the rest of the team works to. You own an assigned set of strategic accounts and remain the senior technical relationship owner across them. You are also accountable for leverage beyond your own deals: the reference architectures, evaluation methodologies, and technical processes you build are adopted by other Solutions Architects, and the patterns you surface shape Scale's product direction. You work alongside the Account Executive (commercial owner), the Project Manager (delivery owner), and the Tech Lead (engineering lead for implementation). This is an individual contributor role with mentorship responsibility, not a people-management role. What you will own Most complex opportunities. Lead technical strategy and execution on the largest and most complex deals in your vertical, measured by revenue, product scope, or data volume. Act as the final technical authority on whether Scale can deliver what is being proposed. Technical discovery and qualification at scale. Own qualification on ambiguous, multi-stakeholder opportunities where requirements are unresolved. Make and defend go/no-go and disqualification recommendations on deals with significant revenue attached. Evaluation methodology for the vertical. Define how Scale measures quality for the use-case classes in your vertical, including evaluation datasets, baselines, quality dimensions, and acceptance criteria that hold up under customer and regulatory scrutiny. Establish approaches other Solutions Architects reuse rather than rebuild. Executive technical relationships. Own long-term technical relationships with C-level and senior technical stakeholders across multiple accounts, including CTOs, Heads of AI, and engineering leadership. Convert those relations

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. Direct the orchestration of asynchronous agent fleets to meet mission requirements. Lead customer engagements to translate mission needs into technical requirements. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and contai

Do you thrive in the ambiguity and possibility of early stage product design? We're looking for a bilingual Product Designer to help build intuitive, AI-driven experiences for government and enterprise clients across the Middle East. At Scale AI, we're building the future of AI through high-quality data and world-class design. Our products power critical decisions for businesses and governments worldwide. You will: Lead 0-1 Design: Own the entire design process — from raw concept to final implementation — working directly with PMs and engineers to ship impactful products quickly Develop Concepts: Extract key insights from PM and client feedback and translate them into compelling concepts Manage Expectations: Respond effectively to multiple stakeholders and align them around a clear design direction Communicate and Prototype Visually: Deliver polished verbal communication and visual storytelling using AI tools like Cursor and Claude Design to bring concepts to life Design with Data: Make design decisions informed by research, data, and user insights You're a great fit if you: Are fluent in Arabic and English (a hard requirement for this role) Excel at navigating ambiguity in early stage products Have a mix of startup and established company experience; at least one role at a well-respected company with a strong product development culture Have experience in B2B products for government or enterprise clients Want your work to shape the role of AI in modern business applications Have prior work experience in the GCC (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, UAE) Are based in the GCC or open to relocating Have hands-on experience with AI-powered design platforms such as Cursor and Claude Have a degree in HCI, Computer Science, or Graphic Design Have a strong portfolio demonstrating polish, professional presentation, and clear visual storytelling to broad audiences Nice to haves: Experience at notable AI companies Technical background For those applying ba

Leave of Absence - Senior Manager Company: The Boeing Company The Boeing Company is seeking a Leave of Absence - Senior Manager to join the team in Seattle, WA or Mesa, AZ . This manager will lead Leave of Absence (LOA) and internal Time and Attendance Operations to deliver accurate, compliant, efficient, and employee-focused services. This position owns operational oversight, performance management, escalations, data integrity, and service improvement rather than routine leave case processing. The Senior Manager leads teams, strengthens cross-functional partnerships, and drives measurable improvements in employee and manager experience. Position Responsibilities: Provide operational accountability for leave services administered by third party administrator, including service quality, timeliness, accuracy, employee experience, and issue resolution Lead vendor performance reviews, monitor service-level commitments, identify systemic problems, and drive corrective action plans Coordinate complex escalations and significant service failures with third party administrator and internal stakeholders Oversee accuracy of leave data, file feeds, and integrations with Human Resource (HR), Payroll, Benefits, and Time and Attendance systems Partner with policy owners, Legal, Human Resources, and Benefits to ensure operational practices support leave requirements and company policies Drive improvements to employee communications, digital experiences, manager support, and self-service capabilities Oversee operational readiness, testing, implementation, and stabilization of vendor, process, and technology changes Maintain appropriate quality assurance, audit controls, risk monitoring, and issue-manag

NVIDIA's Performance Lab (PerfLab) builds the automation platforms that evaluate the performance and quality of accelerated computing workloads efficiently and accurately, from single nodes to large training and inference clusters. Our platforms turn complex benchmark campaigns into reliable, scalable, and reproducible workflows, enabling engineering, product, and marketing teams to make data-driven decisions. We are looking for a System Software Architect to set the technical direction for these platforms. You will build platform components and lead projects from problem discovery and technical design through production deployment and adoption. This hands-on role combines architecture, cross-team alignment, and direct system debugging. You will collaborate with NVIDIA teams around the world and help shape how NVIDIA measures, understands, and improves performance for large language models, agentic AI, and emerging HPC and AI workloads. What You'll Be Doing: Define the technical direction and architecture for major areas of PerfLab's benchmark infrastructure, translating evolving business and engineering needs into clear roadmaps and scalable platform capabilities. Lead the implementation of reusable software, services, and workflows that automate benchmark definition, execution, result collection, validation, and reporting across local, cluster, and cloud-native environments. Establish engineering approaches that improve the reliability, scalability, observability, maintainability, and reproducibility of large benchmark campaigns. Stay hands-on with AI benchmarking, analysis, and benchmark design, and use that first-hand knowledge of how real workflows behave to ground platform investments and technical decisions. Lead delivery across team boundaries: align partner teams on direction, eliminate duplicated efforts, manage delivery risk, and keep stakeholders informed. Ra

Job Details: Job Description: Shape the Future of Semiconductor Innovation at Intel Foundry Organization Overview Manufacturing Development Customer Engineering (MDCE) is a newly established organization within Intel Foundry Technology Manufacturing and is focused on accelerating technology ramp and manufacturing excellence. Our mission is to seamlessly transition cutting-edge technologies from development to high-volume production while making technology ramp a key competitive differentiator for Intel Foundry. Position Summary MDCE is seeking a Staff Chemical Mechanical Planarization (CMP) Engineer to drive module ownership and technical leadership across Intel's most advanced logic technologies (18A, Intel 3, Intel 12nm). This role requires a seasoned professional who can navigate the complexities of process development, cross-node standardization, and high-volume manufacturing readiness while delivering exceptional results for both Intel products and foundry customers. Core Responsibilities Technical Leadership Process Development & Optimization: Lead CMP process development from concept through HVM implementation across multiple advanced technology nodes Cross-Node Alignment: Drive standardization and best practices across Intel's technology portfolio to maximize efficiency and yield Problem Resolution: Own and resolve complex CMP-related yield and manufacturing issues using data-driven approaches and structured problem-solving methodologies Strategic Execution Customer-Centric Delivery: Align technical strategies with customer requirements and business objectives, ensuring on-time delivery of robust solutions Technology Transfer: Bridge technology development and manufacturing

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: The Process Development and Automation Engineer II provides technical engineering support for laboratory automation, equipment, and data systems within a complex clinical laboratory environment. This role supports the implementation, integration, troubleshooting, and continuous improvement of automation solutions, including PLC-based systems, SCADA/AVEVA platforms, and related data and reporting tools. The Engineer II collaborates cross-functionally to support system design, validation, commissioning, and ongoing operational performance. Essential Duties Include but are not limited to the following: Serve as the technical lead for AVEVA implementation, expansion, and sustainment across automation systems. Develop, maintain, and troubleshoot PLC-based data collection and integration solutions. Configure, validate, and support AVEVA, Historian, Insight, and associated reporting systems. Partner cross-functionally with teams to ensure accurate automation performance data. Design and implement automation data structures, tags, state models, downtime tracking, fault monitoring, and KPI reporting. Support commissioning, SAT, go-live, and lifecycle management of new automation systems. Drive continuous improvement initiatives using equipment performance and reliability data. <li style=