Databricks jobs

Sr Staff Data Architect-18692 United States-Utah-Roy RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: Secret TRAVEL: Yes, 25% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Defense Systems is seeking a Senior Staff Data Architect/Data Scientist. This position will be located at Roy, UT and will support the Sentinel program. What you'll get to do: Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may have many applications such as to address a business issue or provide a competitive advantage for the organization. Requires strong statistical and data visualization skills. Knowledge, Skills and Ability LRSP/AOP critical skill usually demonstrated. Applies creativity and vision for the future

Data Warehouse Engineer ROM-Bucharest, PO posted: Posted 4 Days Ago

Senior Value Engineer - Public Sector Redwood City, US, California Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world's fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what's possible. We invest heavily in advanced AI capabilities-specifically our Process Intelligence Graph-to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet. Role Description As a Senior Value Engineer specializing in the Public Sector, you are pushing the envelope in solving critical operational challenges for State and Local Government agencies. You will be working with our most strategic public sector clients, understanding their unique objectives-from enhancing citizen services and modernizing legacy systems to optimizing grant management and regulatory compliance-and building Celonis solutions using the world's leading Process Intelligence (PI) platform in combination with top AI and ML technology partners, such as Microsoft, OpenAI, and Databricks. With Celonis' Process Intelligence (PI) platform, we feed operational context to AI so it understands the complex realities of government operations (breaking down agency silos) and enables agencies to industrialize AI. This unlocks real ROI on AI deployments, maximizing taxpayer value at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to government CIOs and Agency Directors, and ensure successful implementation, adoption, and value

Principal Data Scientist Remote USA posted: Posted Yesterday

Staff Machine Learning Platform Engineer Kitchener-Waterloo, ON; Toronto, ON About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering. You'll be joining a small but deeply critical team that scales Faire's ability to support tens of thousands of local businesses in a constantly narrowing retail landscape. What You Will Do Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most

Mgr Data Sciences - Information and Data Architecture India - Hyderabad posted: Posted 10 Days Ago

Data Engineer, Technology New York | Stamford A Career with Point72's Data Engineering Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company's IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We're a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. The Data Engineering Technology team provides Point72 with a scalable data engineering capability and set of data services to support the firm's expanding data needs. We focus on solutions such as cloud computing, data platforms for large scale data processing, data governance, data quality, enterprise reference data, business automation, and high touch service. We have team members across four continents who collaborate to support the firm's global footprint of investment strategies and teams. What you'll do - Design, develop, and maintain robust data pipelines and ETL workflows in Databricks to support quantitative research, trading, and risk management. - Collaborate closely with data scientists, analysts, and portfolio managers to understand data needs and deliver scalable data infrastructure. - Ingest, process, and normalize large volumes of structured and unstructured financial data from a variety of sources. - Optimize performance of data pipelines and ensure high availability, reliability, and data quality across all production systems. - Implement data governance best practices, including data lineage, cataloging, auditing, and access controls. -

Staff Product Operations Manager Bengaluru, India P-1558 We are looking for a strong Support Operations Leader , who will serve as the operational leader and strategic partner for the Bangalore support team. You will own critical support operations workflows and rhythms, strengthen coverage across priority support motions, and partner closely with cross-functional teams to improve how support operates at scale. An ideal candidate for this role will be a hands-on operational leader with a strong product operations mindset. The candidate will own core support operations rhythms, including shift scheduling, coverage planning, workflow clarity, and operating cadences, while driving cross-functional alignment across Support, Product, Engineering, and R&D Ops to improve team effectiveness and close operational gaps. This person should be comfortable organizing ambiguity, bringing structure to fast-moving environments, and translating strategy into clear execution. They will act as the trusted day-to-day partner for the support team, help bridge communication and execution gaps across regions, and drive process maturity that measurably improves support readiness and team effectiveness. The impact you will have: - Own support shift scheduling and coverage planning to ensure the Bangalore team has consistent, effective operational support across priority workflows - Identify, prioritize, and close support coverage gaps across teams, regions, and operating hours, and drive clear action plans with leadership - Act as the day-to-day operational leader and partner for the Bangalore support team, helping translate team priorities into execution - Establish, scale, and continuously improve core support processes, operating cadences, and team workflows - Partner closely with

Senior Developer II - Data Science & Enterprise Data Platform Development New York, NY Neuberger is seeking a Senior Developer II to help architect and scale the firm's enterprise data platform. Specifically, this role sits at the intersection of AI, Data Science, and Enterprise Data Management. This is a high-visibility, hands-on engineering role at the heart of the firm's data-driven transformation, offering the opportunity to shape platform strategy, influence technical direction, and contribute meaningfully to research and data science enablement. This role is ideal for a highly motivated and technically proficient professional looking to contribute to the firm's data and analytics vision, while furthering their expertise in modern data technologies, cloud-based solutions, and applied data science methodologies. Responsibilities: Build and maintain advanced data engineering solutions - spanning data ingestion, storage, processing, and publication - with a focus on enabling modern AI and analytics workflows. Contribute to the design, development, and deployment of the enterprise data platform, ensuring it meets the scalability, performance, and security needs of the business. Implement and optimize cloud-based data platforms with a focus on leveraging tools like Snowflake, Databricks, and big data ecosystem technologies to drive data transformation and analytics for AI enablement. Partner with senior platform leadership to align development initiatives with the firm's strategic data management roadmap and enterprise architecture. Evaluate and implement emerging technologies and tools to enhance the capabilities of the platform, ensuring the firm remains at the forefront of data innovation. Contribute to data quality, observability, and monitoring frameworks that ensure

Data Coach Remote (UK), UK, London Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity As a Data Cohort Coach you will be responsible for guiding the learning experience for apprentices and helping them reach their full potential. Your role will be focusing on personalised coaching, where you'll be supporting apprentices across multiple businesses to become the next generation of business leaders. Specifically, You Will - Guide apprentices to successful, timely completion of their programme. - Master group and individualised coaching techniques to enhance apprentice learning. - Adhere to coach quality frameworks to ensure a consistent level of quality for every coaching session and

Software Engineer, ML Data Infrastructure Mountain View, California (HQ) Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world's most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale-empowering a safer, richer, and more connected future. About the Role Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment. About the Work - Design and develop unified, introspectable, large-scale batch and streaming data pipelines that can ingest and process data across a wide range of use cases relevant to evaluation. - Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics. - Construct intuitive dashboards and reports to present

Product Owner Remote | Warsaw, 30, Poland Company Description: Job Description: The Product Owner is responsible for managing the organization's tooling ecosystem as a product. This includes owning the end-to-end lifecycle of platforms-from capability definition and onboarding to governance, versioning, deprecation, and cost management. The Product Owner defines how the tooling enables teams to build, run, monitor, and maintain data pipelines at scale. Acting as the Product Owner for the internal data engineering platform, this role ensures that the toolchain is: Standardized across the organization Self-service and user-friendly Observable and measurable Aligned with the enterprise data strategy The Platform Product Owner works cross-functionally, bridging: Data Architecture Data Engineering BI Development Cloud Operations Data Governance Key Responsibilities Platform Ownership - Manage and prioritize the ETL/ingestion platform backlog; define epics and user stories for enhancements, tooling upgrades, and CI/CD integrations. System Analysis - Analyse platform performance, identify gaps, and drive improvements across ingestion, transformation, and monitoring capabilities. Cross‑Team Collaboration - Communicate roadmap, releases, and changes clearly to engineering, architecture, BI, and cloud teams. Data Processing - Work with large datasets using SQL and Python; support ingestion engine processing and data quality improvements. Project Delivery - Lead small to large transformation initiatives and ensure acceptance criteria for platform deliverables are well‑defined and testable. Qualifications & Skills Azure Cloud Experience - Strong advantage; experience with cloud‑native data platforms. Python & Data Expertise - Hands‑on experience with data processing, Databricks, and large‑scale datasets. Data Structures & Algorithms - Solid foundational understanding. System Analysis - Ability

Data Engineer (Clearance Required) Reston, VA The Work: We are seeking a Data Engineer to support federal government programs by designing, building, and maintaining scalable, secure, and compliant data solutions. This role partners closely with data scientists, analysts, developers, and government stakeholders to enable data-driven decision-making across mission‑critical systems. Job Location: This is a fully remote role which may require occasional travel to the DC Metro area as needed for onsite client meetings. Preference to candidates located within the Washington, DC Metro area. If you accept this position, you should note that ICF does monitor employee work locations and blocks access from foreign locations/foreign IP addresses, and also prohibits personal VPN connections. What You Will Do: Design, build, and maintain data pipelines and ETL/ELT processes supporting large-scale federal data systems Develop and optimize cloud-based data architectures in AWS or Azure environments (e.g., S3, Redshift, RDS, Databricks, Synapse) Integrate structured and unstructured data from multiple government and third‑party sources Ensure data quality, integrity, availability, and performance across systems Support ATO, RMF, and federal security requirements, including documentation and audit support Collaborate with DevOps teams on CI/CD, infrastructure as code (IaC), and deployment automation Translate business and mission requirements into scalable technical solutions Produce and maintain technical documentation for data flows, pipelines, and architectures Participate in Agile ceremonies and work closely with cross‑functional teams What You Will Bring With You: Active Top Secret clearance, with SCI eligibility 2+ years of experience designing and supporting enterprise data solutions in federal or regulated environments

Director, Data Governance 12 Locations posted: Posted 4 Days Ago

Data Engineer - Mid Reston, VA posted: Posted 30+ Days Ago

TT/ Sr. Consultant-Data Analytics-Business Consulting Job Description: Senior Consultant, Business Consulting - Data & Analytics The vision of the Data &Analytics team is to help our clients become Data/Analytics/Insights driven. Senior Consultant is a key member of the team expected to help deliver the vision. We are seeking experienced Management Consultants with a background in Data & Analytics to join us. Responsibilities: - Lead discussions with clients to understand business challenges and design analytical solutions - Elicit high-level business requirements, use case and detailed functional specs. Create deliverables such as requirement traceability matrices, workflow diagrams, and data dictionary. - Collect, clean and structure data from multiple sources (Databases, APIs, Spreadsheets, Cloud platforms like Databricks, Snowflake etc) - Design approaches to enhance data quality. - Conduct exploratory and statistical analysis to identify trends, anomalies and opportunities - Develop KPIs, dashboards and visualization reports that communicate findings clearly - Write SQL queries, Python scripts or equivalent for data wrangling and analysis - Create business case and transformation roadmaps. - Design data governance models. - Present insights and recommendations to business and technical stakeholders in a clear and compelling way - Lead internal and client teams on Data Management. - Support sales pursuits and firm building efforts. - Mentor staff and manage project finances. Required Qualifications: - Minimum of bachelor's degree or higher in marketing, economics, mathematics, or related technical specialty. - 5+ years of relevant work experience with 3 years of experience in Management Consulting. - Ability to travel 4-5 days a