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Senior Data Modelling Dataverse Jobs

10,000 active opportunities · Updated for October 2026

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Explore current senior data modelling dataverse jobs. Use filters to narrow by work mode, employment type, experience and date posted.

TI
TextNow, Inc.
📍 United States• Full-time• $136.3K – $273.9K/yr
5mo ago

We believe that communication belongs to everyone. TextNow is redefining how people connect by combining simplicity, intelligence, and accessibility. We’re a team of curious builders using technology to make communication more affordable and powerful for millions of users every day. As a Software Developer - Backend , you won’t just build services—you’ll shape the systems, architecture, and tooling that make them possible. At TextNow, Members of Technical Staff combine leadership and hands-on coding to enable the highest leverage opportunities possible. Being able to operate strategically, as well as diving into the lowest-level details, is a must. You’ll take technical ownership of key backend domains and work across mobile, web, and data to create faster, smarter, more reliable systems. AI and automation are at the core of how we build. You’ll use them to accelerate development, improve performance, detect and resolve issues faster, and continuously raise the bar for backend development excellence. We’re hiring Members of Technical Staff across multiple levels (intermediate/senior/staff+). Whether you’re an experienced developer looking to lead complex systems, or an early-career developer eager to grow, we’ll align your title and scope based on experience and impact. This role is about impact at scale. You’ll shape how TextNow builds and operates its backend systems—using AI and automation to make development faster, decisions smarter, and experiences more seamless for millions of users worldwide. What You'll Do Design, develop, and sustain high-performance, scalable backend services using Go microservices and modern cloud-native tooling. Lead architectural modernization and modularization to improve scalability, observability, and developer velocity. Define and own the entire lifecycle of your systems: API design, data modeling, deployment (CI/CD), live-traffic monito

awskubernetesartificial intelligence
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P-1448 About the Role Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation in Apache Spark and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Sr. Designated Support Engineer/Premier Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience. The Impact You Will Have Manage large strategic accounts to provide a high-touch support experience. Deep-dive into complex Apache Spark and Data Engineering issues, analyzing Spark UI, thread dumps, and driver/executor logs to resolve critical performance bottlenecks. Advise strategic customers on Data Engineering best practices, including optimizing ETL/ELT pipelines, data modeling, and leveraging the Databricks Lakehouse architecture (Delta Lake/Iceberg). Project manage all open support cases to expedite support ticket closure. Facilitate customer correspondence with Engineering, Product Team, SMEs, and Accounts Teams to advance tickets toward resolution. Directly engage on business-impacting situations and ensure recovery of functionality for the customer. Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays, and mitigate issues. Effectively use sound business judgment, risk avoidance, and SME resources to coordinate team efforts to solve problems. Carry out regular reviews of customer cases to identify trends and proactive optimization opportunities. Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders. Drive customer self-sufficiency by ensuring customers understand how to engage with the Databricks S

pythonjavaai
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CLEAR - Corporate
📍 New York• $220K – $290K/yr
24 days ago

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We're looking for Senior Fullstack Software Engineers to help build the next generation of CLEAR's mission and vision. Beyond verifying identity, we're creating a secure, networked digital identity that enables seamless experiences across travel, enterprise, healthcare, financial services, and beyond. As a Senior Software Engineer III, you'll own complex technical problems from design through deployment, partnering closely with Product, Design, Security, and Operations to deliver reliable, scalable solutions. We're looking for engineers with a strong builder mindset who thrive in ambiguity, take ownership, and enjoy turning ideas into production systems. Level and team matching (open roles across the three pillars that make up Technology at CLEAR: Core Identity, CLEAR1 , and CLEAR Travel ) will occur towards the end of our interview process. Tech stack overview: A brief highlight of our tech stack: Java / Kafka / Postgres AWS cloud What you'll do: Advance our capabilities across a wide array of industries and domains and gain hands-on experience with privacy, security, data modeling and a

javapostgresqlaws
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Wellhub
📍 Brazil• Full-time• Hybrid
1mo ago

Your wellbeing, our mission. Join a company shaping a healthier world. GET TO KNOW US At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company. We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. Join us in redefining the future of wellbeing! THE OPPORTUNITY We are hiring a Sales Operations Professional to join our Sales Operations team in Brazil ! YOUR IMPACT Own pipeline and forecasting execution: Drive the end-to-end forecast and pipeline review cadence for your assigned segment or region, enforcing data quality in Salesforce and tracking call-to-commit variances. Deliver actionable analytics: Build and maintain high-visibility Tableau and Metabase dashboards tracking rep productivity, quota attainment, and overall pipeline health. Shape territory and quota planning: Model annual quota, coverage, and headcount scenarios, leveraging historical data to deliver actionable strategic choices to senior management. Drive process improvements: Scope and execute cross-functional RevOps initiatives to optimize Salesforce tooling, accelerate pipeline velocity, and enhance forecast precision. Partner across teams: Collaborate with Sales and FP&A during business planning cycles to provide critical data modeling for quota setting and long-term revenue strategy. Champion operational excellence: Proactively identify hidden insights within roll-up data, streamline team do

sqlaisalesforce
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Twitch
📍 United States• Full-time• $127.1K – $185K/yr
2mo ago

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role For many of our creators, streaming on Twitch is a career, and our payment systems are central to making this possible. We're operating at a massive scale and you'll help millions of creators to earn a living doing what they love. As a key member of the engineering team, you will report to the Senior Engineering Manager of Payments team and have the opportunity to build and scale solutions that affect millions of users and broadcasters. You will take high ownership of your services - architecting, building and operating them. You will partner with other engineers, product managers, designers and data specialists to deliver solutions. Our team is based in San Francisco, CA You Will: Work with technical leads and other engineers to design and develop commerce/payments platform and services Contribute to customer-focused project deliveries Work with other teams to clarify product requirements Improve engineering processes Participate in design and code reviews You Have: Minimum of Bachelor’s degree in Computer Science or prior relevant engineering experiences Strong understanding of data structures, algorithms, data modeling and schema design 1+ years as an software engineer Experience creating detailed technical documentation Proficient experience level in one or more of the fol

javaawsc++
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I
Instacart
📍 United States• Full-time• Remote• From $234K/yr
4mo ago

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart's Enterprise Solutions team is building a first-of-its-kind business: embedding directly with enterprise retail and CPG partners to design, sell, and deliver AI-powered solutions at scale. We are a small, senior, field-first pod—part startup, part consultancy—defining the playbook as we go. As the AI Solutions Architect, you own the data and AI architecture, integration design, and governance across every engagement the pod runs. You are the person who makes Instacart's Intelligence Platform actually work inside real partner environments. This is a hands-on, field-first role—you will embed with partner engineering teams to map data ontologies, design integrations, and co-build solutions that work in the real world, not just on a whiteboard. About the Job Own data modeling, integration design, and governance across every engagement; serve as the s

REMOTEaigo
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I
Instacart
📍 BC, Canada• Full-time• Remote• From C$216K/yr
4mo ago

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart's Enterprise Solutions team is building a first-of-its-kind business: embedding directly with enterprise retail and CPG partners to design, sell, and deliver AI-powered solutions at scale. We are a small, senior, field-first pod—part startup, part consultancy—defining the playbook as we go. As the AI Solutions Architect, you own the data and AI architecture, integration design, and governance across every engagement the pod runs. You are the person who makes Instacart's Intelligence Platform actually work inside real partner environments. This is a hands-on, field-first role—you will embed with partner engineering teams to map data ontologies, design integrations, and co-build solutions that work in the real world, not just on a whiteboard. About the Job Own data modeling, integration design, and governance across every engagement; serve as the s

REMOTEaigo
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Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary At Micron, we are transforming the future of semiconductor manufacturing through data, artificial intelligence, and advanced analytics. As a Senior/Staff Data Scientist , you will leverage massive volumes of manufacturing, engineering, and business data to develop predictive models, uncover actionable insights, and drive intelligent decision-making across our global operations. In this role, you will collaborate with world-class engineers, data scientists, and business leaders to solve complex real-world challenges using machine learning, statistical modeling, and advanced analytics. You will have the opportunity to develop innovative AI-driven solutions that improve product quality, optimize manufacturing performance, accelerate operational excellence, and shape the future of intelligent manufacturing. If you are passionate about turning data into impactful business solutions and thrive in a highly automated, data-rich environment, we invite you to join our team and make a meaningful difference. Responsibilities Collaborate with cross-functional teams including Engineering, Manufacturing, Product, and Business stakeholders to identify opportunities for data-driven solutions and process improvements. Analyze l

pythonsqlmachine learning
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R
Roblox
📍 San Mateo• Full-time• From $307.4K/yr
2mo ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY DISCOVERY EXPERIENCES? Roblox is not just a platform; it is a complex, two-sided marketplace where millions of creators meet over 70 million daily active users. The Discovery Experiences team is the technical heartbeat of this ecosystem. We own the surfaces—Home, Search, Matchmaking, and Notifications—that determine how users navigate the metaverse. As a Data Scientist , you will own the ranking initiatives that power these canvases. You aren't just building models; you are building the economic and social f

pythonsqlaws
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Fin
📍 Dublin• Full-time
6mo ago

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? As a Senior Finance Data Scientist, Existing Business , you will be the architect of the systems that predict Fin's revenue future. You will move beyond static reporting to build production-grade forecasting models that translate complex customer behaviors into financial signals. You will work on high-impact, open-ended problems, such as predicting expansion propensity and modeling long-term customer LTV. This role requires a hybrid of financial intuition and technical rigor: the ability to navigate raw data warehouses and the strategic mindset to explain the "why" behind the numbers to our leadership team. The Impact You Will Have Own and Evolve the Revenue Engine: Build and maintain predictive models for usage-based revenue, renewals, and expansion that outperform traditional linear forecasts. Unlock Predictive Insights: Develop propensity models to identify expansion opportunities and churn risks before they materialize in the ledger. Architect Finance Data: Des

pythonsqlai
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OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team: The OKX Data Engineering team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. Responsibilities: Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling (star/snowflake schemas) Partner with analytics and business teams to understand requirements and deliver trusted, well-documented datasets Design and build resilient and efficient data pipelines for both batch and real-time streaming data Architect an

sqlawswarehouse
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S
5mo ago

Spotify’s Subscriptions Mission focuses on converting listeners into lifelong subscribers by delivering seamless, valuable experiences across pricing, packaging, and customer journeys. We build the systems and tools that power acquisition, retention, and overall subscription growth at scale. The Messaging Platform powers Spotify’s communications to over a billion users — from push notifications to emails and in-app messages that connect listeners to the content they love. Within this space, the Paloma squad focuses on message optimization: deciding which message reaches which user, through which channel, and at what moment. We’re evolving how messaging works at Spotify — moving from short-term optimization toward systems that understand long-term user journeys. By combining reinforcement learning approaches with deeper domain signals, we’re expanding how machine learning shapes the entire messaging funnel. What You'll Do Design, build, and ship machine learning models that optimize messaging across push, email, and in-app channels Plan and run A/B experiments in a multi-objective environment, balancing conversion, engagement, retention, and reachability Contribute to reinforcement learning systems that optimize for long-term user outcomes rather than immediate interactions Partner with product managers, data scientists, and engineers to define what success looks like and how to measure it Own the full ML lifecycle, from data and modeling to deployment, monitoring, and iteration Integrate ML models with upstream systems, including domain value signals and oppor

machine learningairecruitment
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Q
Qualia
📍 San Francisco• Full-time• $140K – $165K/yr
38mo ago

At Qualia, we've built the leading B2B real estate technology that transforms the home buying and selling experience into a simple, secure, and enjoyable process. Our SMB and Enterprise products bring together users from across the real estate ecosystem---homebuyers and sellers, lenders, title and escrow agents, and real estate agents---onto a single shared digital closing platform, providing greater clarity and transparency to real estate transactions. Today, through our business customers across the country, millions of consumers use Qualia to close on homes every year. WHAT YOU'LL WORK ON The FP&A team at Qualia is the analytical engine of the Finance organization. We own the company’s planning and forecasting processes, serve as trusted business partners to functional leaders, and produce the financial insights that inform our most important strategic decisions—all in an environment where AI is actively reshaping how we work. As a Senior FP&A Analyst, you will be a driving force across the organization for forecasts, annual planning, long-range planning, and critical financial analysis — partnering closely with leaders across Sales & Marketing, Customer Success, R&D and G&A to manage spend, track performance, and surface insights that shape how Qualia operates as we scale. RESPONSIBILITIES Elevate Qualia's financial rigor — drive deeper Budget vs. Actuals analysis and forecast precision via smarter, more data-driven modeling and tighter cross-functional collaboration, particularly in uncharted, high-impact areas Support monthly forecasting and reporting processes — analyze financial results, distill key trends, and communicate risks and opportunities to influence business outcomes; assist in preparation of monthly and quarterly management reporting including variance analysis, dashboards, and Board materials Build and own our growing playbook of financial models and reports, ensuring quality, timeliness, and accuracy across in-depth analyses

Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US. Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . Role Overview We are looking for a Senior Security Engineer to lead data security, threat modeling, and security reviews across our applications and platforms. This role focuses on proactively identifying design-level risks , securing sensitive data, and ensuring systems are built with strong security foundations. You will work closely with engineering teams to influence architecture and embed security early in the development lifecycle. Key Responsibilities Lead security design reviews for new and existing systems, identifying risks and driving secure architecture decisions. Perform threat modeling for services and platforms, translating threats into actionable engineering requirements. Define and implement data protection strategies , including: Data classification and handling standards Encryption (at rest/in transit) Key management and secrets handling Review application architectures and APIs for security weaknesses and design flaws. Conduct third-party/vendor security assessments , ensuring risks are identified and mitigated. Partner with engineering teams to&n

azureaifinance
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NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips. What you'll be doing: As a senior member in our team, you will work with pre-silicon and post-silicon data analytics - visualization, insights and modeling. Design and uphold sturdy data pipelines and ETL processes for the ingestion and processing of DFX Engineering data from various origins Lead engineering efforts by collaborating with cross-functional teams (execution, analytics, data science, product) to define data requirements and ensure data quality and consistency You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods. In addition, you will help develop and deploy DFT methodologies for our next generation products using Gen AI solutions. You will also help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: BSEE (or equivalent experience) with 5+, MSEE with 3+, or PhD wi

pythonsqlaws
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