Data Governance Senior Jobs

P-939 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The impact you'll have: As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. Our backend teams span many domains, from OS/container systems, to serverless infrastructure, to partner integration, and to machine learning infrastructure. Below are some example projects and the Serverless platform : Build Databricks serverless platform that powers the big data, machine learning and Gen AI workloads. Automatically improve the performance and efficiency of workloads running on the platform while also ensuring they scale to millions of machines across a multi-cloud environment. Core cloud platform : Build cutting-edge OS, container and networking technologies that power the entire Databricks infrastructure, from internal infrastructure, to serverful, and to serverless platform. Improve the security, efficiency and reliability across the fleet. Partner ecosystem : Build and grow a partner ecosystem for Databricks SQL. Build and offer a variety of toolkits to support partners and customers’ deep and seamless integrations with Databricks. Maintain and nurture productive and beneficial partnerships within the ecosystem. Notebook dataplane : Build mu

P-940 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark™, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform). Below are some example teams you can join: Data Science and Machine Learning Infrastructure: Build services and infrastructu

We are seeking an ML Engineer who will assist in constructing a system to validate data and ML models. The ideal candidate should be intelligent, contemplative, and composed. They should not rush through tasks, instead diving deeply into the code and being attentive to details. WHAT YOU’LL BE DOING: The task involves the development and upkeep of data pipelines for training and evaluating models Exploratory data analysis will be conducted to enhance model accuracy and performance Experiments and evaluations of machine learning models will be carried out to identify and address any issues WHAT WE LOOK FOR IN YOU: Strong experience in machine learning Experience in developing and deploying machine learning pipelines and workflows, including data preprocessing, feature engineering, model training, and evaluation Strong analytical and problem-solving skills, as well as attention to details WHY SHOULD YOU JOIN OUR TEAM? Great challenges with many opportunities to prove yourself A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime 40 paid days off Competitive salary and performance-based bonuses

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. As an Enterprise Account Executive, you’ll fill a key role in acquiring new customers and creating raving fans. Being a champion of the entire sales process from start to finish, you will use your creative prospecting skills to strategically pursue net new business. Working through complex deals, your insatiable curiosity makes you a thought leader, and your drive to succeed keeps you at the top of the leaderboard. Out-of-the-box thinkers and those who will never settle for the status quo are strongly encouraged to apply! As a part of Gong’s sales team, you will become a master of discovery & a strategic business partner for prospective customers. You will play a huge role in our company's growth while navigating your own individual growth journey as well. Are you looking for the opportunity to make big waves & to perfect your craft of sales?

THE OPPORTUNITY Dillard’s is seeking a Production Control / Technical Support Analyst to work the night shift at our Data Centers in Central Arkansas. You must be able to work a flexible schedule, which includes weekends, holidays, and after hours. This position's primary focus is assisting users of Dillard’s Information Technology services who are experiencing complex procedural or operational problems with IT applications, hardware, or services. It is also responsible for executing, monitoring, and resolving issues with batch processing. THE TEAM Night Shift Operations is responsible for closing the business day and starting the batch processes during the overnight hours, performing systems maintenance, monitoring the performance of the batch processes, and ensuring all company applications are available on time to start the next business day. They are also responsible for providing technical support to all Dillard locations that are still online when the evening shift starts and as those locations come online in the morning. WHAT YOU WILL DO Provide technical software, hardware, and network problem resolution to all IT resource users by performing question/problem diagnosis and guiding users through step-by-step solutions Must be able to function independently Handle phone and email support for moderate system or content issues Identify, resolve, and escalate issues when necessary Clearly communicate technical solutions in a user-friendly, professional manner Record interactions in our service ticket database Leverage AI to quickly review service ticket histories and problem descriptions to identify patterns in recurring inquiries, and draft clear, standardized resolution documentation for the service ticket database Occasionally assist other staff members and monitor open tickets to ensure timely and effective resolution Provide equipment upgrade and maintenance assistance to personnel at all Dill

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as an Operations Tooling Engineer to turn Qonto's Operations Enablement run into a self-improving system — one where every recurring request becomes an opportunity to automate, and where AI and scripting progressively replace manual, repetitive work. You will work closely with Lucas, and join the Operations Engineers team, part of Central Operations Enablement — the transversal pillar that equips Qonto's Operations factories with the tools, data access, and technical standards they need to scale. Our team acts as a Technical Product Partner to those factories: we own the architecture and data flows behind our back-office platform, our ticketing tool (Zendesk), and our telephony tool (Aircall), and we scale what one factory builds into something every fa

About APT Research Pvt. Ltd. APT Research is the research and data analytics arm of APT Portfolio, a quantitative investment firm that thrives on cutting-edge technology, scientific thinking, and deep market insight. We are a team of scientists, engineers, and innovators powering algorithmic trading and financial research at scale. Learn more at www.aptportfolio.com. The Data Management & Research (DMR) team plays a pivotal role in building high-performance systems, storage, distributed computing systems, research infrastructure, and pipelines that process, store, and analyze market data across global exchanges, enabling the firm's trading decisions and investment strategies. About the Role We are looking for a Senior Software Engineer / Tech Lead to join our DMR team — a self- driven engineer who enjoys solving hard problems, building scalable systems, and mentoring others while remaining deeply hands-on with code. This role blends individual technical depth with people and project leadership, making it ideal for someone who thrives in a fast-paced, analytical environment and wants to contribute across the stack — from systems architecture to production deployments. What You’ll Do · Design, prototype, and build robust data pipelines, APIs, and analytical systems using Python · Own and evolve large-scale distributed systems across PostgreSQL, MongoDB, and ClickHouse · Lead and mentor junior engineers while maintaining your own strong IC contributions · Collaborate with product managers, researchers, and trading teams to scope and ship features · Bring a systems thinking mindset — ensuring performance, monitoring, and maintainability · Rapidly prototype and iterate on solutions for real-time data processing and analytics · Drive best practices in software development, testing,

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. NOT SEEING AN OPEN JOB THAT MATCHES YOUR SKILLS AND EXPERIENCE? JOIN THE TALENT COMMUNITY TO STAY UP TO DATE ON FUTURE OPPORTUNITIES! At Stitch Fix, we’re passionate about people and know that finding a career that’s right for you can take time and patience. That’s why we built this styling talent community – to support you in “finding a career that looks good on you." This community is designed to keep you in the loop via regular newsletters regarding all things Stitch Fix, including business updates, employee testimonials, and so much more! As part of the talent community, you'll be the first to be notified when we have styling openings in your area. To join the community, tell us a little about yourself by answering a few questions below. We hope you're just as excited to learn more about our amazing culture as we are to share it with you! We're currently not hiring stylists in Alaska, California, Colorado, Connecticut, Hawaii, Illinois, Maine, Massachusetts, Montana, Nevada, New Jersey, New York, Oregon, Pennsylvania, Rhode Island, Vermont, Washington, and all Non-State US Territories. This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data. Please review Stitch Fix's US Applicant Pri

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Write in Go, Java, Rust or C++, amongst other languages Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components Own meaningful parts of our service, have an impact, grow with the company Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) You have been exposed to working on problems (high durability / low latency /…) You can get down to the low-level when needed You care about simple designs and performance You want to work in a fast, high-growth startup environment that respects its engineers and customers You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you

We are building the best platform in the world for engineers to understand, scale, and protect their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, application tracing, and security insights for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way . At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Solve a scaling bottleneck in a critical service Deploy a new feature to production, progressively rolling it out with feature flags Investigate and fix a production issue from a service your team owns Design a way to scale up a service for more traffic With your team, plan the most important projects to work on next Who You Are: You have significant experience in one or more languages You value code simplicity and performance You can design architecture to solve problems at high scale You have a BS/MS/PhD in a scientific field or equivalent experience You want to work in a fast, high-growth startup environment that respects its engineers and customers You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You have demonstrated ability to use AI coding tools in day-to-day workflows and build, validate, and refine AI-generated output in products You can design AI Backend systems, with awareness of quality, cost, and latency tradeoffs Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all

P-78 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Senior Software Engineer on the Infrastructure teams, you will build scalable systems to power the Databricks platform, making it the de-facto platform for running Big Data and AI workloads. You will build and extend the Databricks infrastructure platform, which includes multi-cloud systems and services for managing thousands of Kubernetes clusters at scale, storing petabytes of data, highly scalable and distributed API gateways, rate limiting framework, network security and encryption, developer tools and infrastructure (we use Bazel), testing frameworks, and scalable CI/CD framework among many others. The impact you will have: Build and extend components of the core Databricks infrastructure Architect multi-cloud systems and abstractions to allow the Databricks product to run on top of existing Cloud providers Improve software development workflows for engineering and operational efficiency. Use our own data and AI platform (yes!) to analyze build and test logs and metrics to identify areas for improvement. Develop automated build, test, and release infrastructures. Set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harness

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. You will: Solve a scaling bottleneck in a critical service Deploy a new feature to production, progressively rolling it out with feature flags Investigate and fix a production issue from a service your team owns Design a way to scale up a service for more traffic With your team, plan the most important projects to work on next Who You Are: You have significant experience in one or more languages You value code simplicity and performance You can design architecture to solve problems at high scale You have a BS/MS/PhD in a scientific field or equivalent experience You want to work in a fast, high-growth startup environment that respects its engineers and customers You have demonstrated ability to use AI coding tools in day-to-day workflows and build, validate, and refine AI-generated output in products You can design AI Backend systems, with awareness of quality, cost, and latency tradeoffs 6+ years of experience Bonus points: You've worked at high scale with systems like Redis, Cassandra, Kafka You wrote your own data pipelines once or twice before You have a strong background in statistics You have significant experience with Go, C, or Python You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualificat

A one-of-a-kind international company operating on the cutting edge of technology. The company has risen to prominence in the HFT (High-frequency trading) industry in recent years, having built one of the greatest teams of developers and data scientists on the market, including a great machine learning expert and top-level data scientist as the company's founder. Our trading activities span across various platforms worldwide, encompassing both traditional and cryptocurrency markets. We are seeking a Quantitative Researcher . The one who embodies intelligence, calmness, and composure. We have a lot of financial data, robust infrastructure, and a highly skilled professional team. WHAT YOU’LL BE DOING: Operate automated latency-sensitive trading systems Monitor the systems’ executions and open positions Adjust system parameters based on market conditions Suggest automation and improvements to the systems Communicate relevant news, market events, and system behavior to team members Stay current with system functionality WHAT WE LOOK FOR IN YOU: 3+ years of algorithmic trading experience A proven track record in the last 2-3 years Having your own trading strategies/ideas 1+ years experience in Python Performs well in a remote/hybrid team with variable, project-based responsibilities NICE-TO-HAVE: Experience with international HFT companies and hedge funds Performance in any quantitative field or contest (hackathons, Olympiads, academic contests, etc.) WHY SHOULD YOU JOIN OUR TEAM? Great challenges with fast feedback loops A welcoming group of highly qualified international professionals Great corporate culture with internal events and surprising commitment to fostering a supportive and empowering environment Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary and performance-based bonuses

P-225 Location: Toronto Only As a Solutions Architect at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager. The impact you will have: You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform. Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning. You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases. Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications. Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars. What we look for: 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies: Big data engineering (Ex:

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. What You Will Do and Learn We are looking for an Anaplan Consultant to join our Anaplan Delivery Team! As an Anaplan Consultant , you will help some of the world’s most well-known organizations solve business challenges through Enterprise Performance Management. With the opportunity to build your Anaplan expertise by obtaining recognized certifications, you will implement Anaplan as a ‘Best in Cloud’ solution for Finance, Supply Chain and Sales. Ideal candidates will be able to: Interact directly with clients to extract their needs Analyze customer needs, design, configure, and test customer solutions Resolve technical issues through debugging, research, and investigation Assist with production support issues as required Maintain effective working relationships with team members Mentor Analysts with domain knowledge and configuration questions Assist with configuration reviews to provide useful feedback Contribute to project and team documentation Deliver Anaplan training to our clients Stay current with latest Anaplan technologies and best practices within the industry Qualifications: 1-5 years of experience in Consulting or Financial Reporting and Analysis Strong knowledge of Excel. Including an understanding of how to develop macros, and model large data sets utilizing Lookups and SumIf functions Microsoft Office Suite expertise Strong understandin