Databricks jobs

MS Fabric & PBI - Senior Associate Bangalore, India We are looking for a Senior Associate to join our Advisory Acceleration Centre at PwC. This role involves implementing cloud data engineering solutions using Azure, Databricks, and SQL. If you have a strong background in data management and a passion for innovative solutions, we want to hear from you!

Data Architect Ashburn, VA, US posted: Posted 30+ Days Ago

Data Engineer India - Hyderabad posted: Posted Today

Sr. Contracts Negotiator - Healthcare & Life Sciences Bellevue, Washington; Chicago, Illinois; Denver, Colorado; Mountain View, California; San Francisco, California; Seattle, Washington; Washington, D.C. GAQ127R55 Location: This position will be based in Seattle, Bellevue, Denver, or Chicago. This will be a hybrid role with in-office expectations. About the Role: Databricks is seeking a Sr. Contracts Negotiator to support our growing Healthcare and Life Sciences (HLS) commercial business. Reporting to the Director, Assistant General Counsel, you will negotiate and close complex commercial transactions with HLS customers, including Master Cloud Services Agreements (MCSAs), Business Associate Agreements (BAAs), Data Privacy Agreements, NDAs, Statements of Work, and Order Forms, often addressing topics such as data privacy, information security, intellectual property, and emerging technologies, including AI. This role is ideal for someone who loves commercial transactions, excels at navigating complex contract issues, and takes pride in helping close strategic, high-impact deals that move the business forward in a fast-paced, collaborative environment. What You Will Do - Negotiate, draft, and close commercial agreements (including MCSAs, Order Forms, and BAAs) with HLS customers, ensuring compliance with company policies, data privacy, information security, and applicable healthcare regulations. - Support assigned Attorneys on complex or strategic transactions and assist in driving deal execution for key accounts. - Partner with Sales, Finance, Product, and Compliance teams to facilitate revenue-generating transactions while managing legal and commercial risk. - Triage and manage incoming contracting requests using Databricks' contract lifecycle management (CLM) tools, ensuring timely review, accurate routing, and collaboration with cross-functional stakeholders

Senior AI/ML engineer London 500M+ downloads. 80M+ monthly users. A decade of building - and we're still accelerating. Flo is the world's #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 - and we're not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store's health category, we've spent 10 years earning trust at scale. Now, we're building the next generation of digital health - AI-powered, privacy-first, clinically backed - to help our users know their body better. The job We are looking for a Senior Software Engineer with deep expertise in AI/ML infrastructure to join our AI Platform team and help build the GenAI platform that powers every AI feature at Flo. You will bridge core infrastructure, data engineering, and LLM development to deliver production-grade medical safety judges, fine-tuning pipelines, evaluation frameworks, and real-time personalisation. The team operates 60+ LLM-based evaluation judges, develops proprietary fine-tuned health models, and maintains active partnerships with Databricks, Google, OpenAI, Anthropic, and AWS. What you'll do - LLM Judge Ecosystem: build and scale Judge-as-a-Service, prompt registries, calibration pipelines, and evaluation orchestration using MLflow 3.x - Fine-Tuning and Serving: develop LoRA/SFT/preference optimisation pipelines for health-domain models (Llama, Gemma, MedGemma) and manage model serving at scale on Databricks - Data and Evaluation Pipelines: build synthetic Q&A generation, golden test sets,

Data Architecture Consultant Madrid HQ (KES51610) posted: Posted 30+ Days Ago

EverCommerce - Data Engineer II 2 Locations EverCommerce - Data Engineer II - Remote, US About EverCommerce At EverCommerce [Nasdaq: EVCM], we are on a mission to digitally transform the service economy with tailored, end-to-end SaaS solutions that simplify and empower the lives of our 725,000+ customers. As a leading service commerce platform, our modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals in the areas of Home & Field Services, Health Services, and Wellness industries. We are building an extraordinary company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: https://careers.evercommerce.com/us/en Role Overview We are seeking a Data Engineer II to help design and scale our modern data platform, supporting analytics, self-service BI, real-time use cases, and AI-powered insights. You'll work closely with analytics engineers, product teams, and business stakeholders to deliver reliable, high-quality data that drives measurable business outcomes. This role is hands-on and impact-focused, ideal for someone who enjoys building Lakehouse-based platforms , enabling streaming data , and supporting AI and GenAI use cases in production. Responsibilities: Design, build, and operate scalable batch and streaming data pipelines Develop and orchestrate workflows using Apache Airflow Implement transformations and analytics-ready datasets using DBT Build and maintain real-time pipelines using Kafka Leverage Databricks for data processing, analytics, and AI enablement Support AI and GenAI use cases , including enabling high-quality data access for tools like Databricks Genie Design

MLOps Engineer Vilnius What success looks like in this role: We are seeking a highly motivated and skilled MLOps Engineer to support the design, automation, and operationalization of AI-driven cloud solutions. The ideal candidate will have deep hands-on expertise in Azure Cloud, Azure Databricks, Azure Machine Learning, and Azure AI Foundry, with strong focus on machine learning operations, infrastructure automation, and secure CI/CD pipeline management. This role ensures that AI and ML models are efficiently built, deployed, monitored, and maintained in production-grade environments. Your tasks: You´ll perform Data & ML Platform Management including workspace configuration, cluster setup, job orchestration, model deployment endpoints, and secure secret or key management as well as configure and manage Unity Catalog for secure and governed data access. Build and maintain ML and CI/CD pipelines for data preparation, training, validation, packaging, and deployment of ML models using platforms like Azure DevOps. Integrate MLflow, Azure ML or equivalent tools for experiment tracking, artifact versioning, and model registry management. Implement monitoring for ML services using Azure Monitor, Application Insights, or open-source tools. Establish end-to-end visibility with logs, metrics, model performance/drift detection, and alerting systems. Enforce secure cloud and data operations using tools like Wiz, CrowdStrike, and SonarQube and apply ITIL-based processes for incident, change, and problem management in 24x7 environments. You will be successful in this role if you have: Must-Have-Skills: 2-5 years of experience in DevOps or MLOps roles or similar Strong expertise/understanding of Cloud Services, Azure Databricks, and Azure Machine Learning Deep understanding of ML model

Manager Generator Services Bohemia, NY - USA posted: Posted 11 Days Ago

Staff Data Scientist Fremont, California posted: Posted 30+ Days Ago

Software Engineer - Senior Associate Bangalore, India Join our team as a Senior Associate Software Engineer - Azure and lead the design and implementation of advanced cloud data solutions. Leverage your expertise in Azure, Databricks, and big data technologies to drive impactful analytics projects. Collaborate with cross-functional teams and mentor junior engineers in a dynamic, growth-focused environment.

Quantitative Analyst - QIS Required • Proficient in Python for developing quantitative analytics, models, and applications • Proficiency in at least one of statistical modelling, optimisation, or AI/ML techniques, with a solid understanding of the underlying mathematical theory • Experience working with large scale data analytics pipelines, with at least one of MS Azure Databricks, SQL, or KDB/Q • Strong analytical and problem solving skills, with the ability to work effectively in a front office environment • Academic background in Mathematics, Physics, Engineering, Computer Science, or a related STEM subject Preferred • Professional / internship experience in QIS, systematic trading, quantitative research, structuring, or front office quant roles within Global Markets • Knowledge of time series data analysis and experience with KDB/Q • Proficiency in additional programming languages such as C++ or Java; front end development experience (e.g. React/Enaml) is a plus • Experience with cloud based workflows and components, including Azure; exposure to platform or calculation stack transformation initiatives is advantageous • Strong knowledge of AI/ML techniques, with experience delivering such models into production environments a plus • Post graduate academic studies in a quantitative STEM subject

Senior Java Data Engineering Developer Montreal, QC Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today's complex challenges and tomorrow's opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. As part of this team, you will be undertaking a large-scale migration from on-premise data infrastructure - including Teradata and legacy tooling - to a modern, cloud-first data platform built on Databricks and Snowflake. As part of this engagement, consultants will embed directly with the client's engineering team, contributing hands-on to the migration, modernization, and optimization of enterprise-scale backend and data processing systems. Information Security Responsibilities Responsibilities: Required Skills: Nice to Have:

DevOps Engineer [Full-Stack, Data & Reporting Focus (.NET / Power BI / Azure)] INDORE, Madhya Pradesh, India Your IT Future, Delivered. DevOps Engineer (Azure / Databricks / Power BI). With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by con...

Big Data Engineer United Kingdom-London

Director, Engineering - Supply Chain Philadelphia, Pennsylvania, United States of America Join our team as Director, Engineering - Supply Chain and lead the modernization of technology across our dynamic supply chain and logistics operations. Drive innovation with Azure, Databricks, and AI, while building high-performing teams. Shape the future of enterprise platforms and make a measurable impact at Five Below. Grow your career with us!

Manager, Delivery Solutions Architects Milan, Italy (CSQ327R106) As a DSA Manager, your role is to build and lead a team of Delivery Solution Architects (DSAs). You work in close collaboration with the Sales, Pre-Sales, FDE and Partners teams in the Southern Europe, Israel, Middle-East and Africa (SEMEA, France excluded) region to shape the post-sales delivery strategy for our major customers and will report to the SEMEA SSA & DSA leader. DSAs are collaborating with sales and field engineering teams to drive our customers' adoption and growth. They are guiding complex customers to maximize platform value and ROI. This hybrid role combines commercial skills to foster customer relationships and drive growth, with technical expertise across all Databricks products. They are engaged at all organizational levels to drive the adoption. Your role will have 3 main pillars: - People : Hire, coach and support a diverse team able to ensure our customers' success in their roadmap delivery - Business : You will contribute to the growth of the region and to the investment/co-investment positioning of your team with our customers - Leadership: You will be the technical sponsor and thought leader for a number of selected customers. You and your team will contribute to the creation of assets to build the Delivery Solution Architect practice to and improve effectiveness and consistency in working with customers. The impact you will have: - Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (usage growth, career growth and hiring)

Member of Technical Staff (Product Data Scientist, Search Quality) Belgrade, Serbia, London, Berlin Perplexity is looking for an experienced Product Data Scientist to accelerate the development of advanced search technologies. You will identify robust and sensitive signals from user behavior to help us gather insights from A/B experiment data more efficiently. Responsibilities - Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption - Formulate hypotheses and validate them by designing, running, and analyzing A/B tests - Determine appropriate metrics and visualizations for tracking, and implement them in dashboards - Design new pipelines that will help to deliver better ranking quality. From discovering new signals, producing metrics and construct data labeling pipelines with human and LLM feedback Qualifications - 4+ years of experience working as a data analyst or in a related role - Experience working on search-related products, with emphasis on designing online metrics and analyzing A/B experiments - Strong Python skills (expected to write production-grade code) - Proficiency with SQL - Experience with Business Intelligence (BI) tools - Deep knowledge of statistics Preferred Qualifications - Proficiency with Apache Spark - Experience with Databricks - Experience with development of LLM-as-a-judge systems

SR. DATA ENGINEER MKTG Job Country India At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Responsible for designing and establishing the solution architecture for analytical platforms and/or data-enabled solutions.Has broad understanding of the entire data and analytics eco-system of tools and technologies, with hands-on experience across all three core data domains of data science, data engineering, and data visualization. Responsible for fleshing out the details of the end-to-end component architecture being implemented by the team. Contributes to the team's development velocity, if necessary. Understands how an organization's data platform integrates within the overall technical architecture. Understands the business purpose the role fulfills, and the roadmap for the lifecycle of an organization's systems. Sets the direction and establishes the approach for integrating information applications and programs. Roles & Responsibility: Data Modeling & Transformation Build and optimize semantic models and datasets in Microsoft Fabric and Power BI. Develop transformations in Databricks (SQL/PySpark) using golden‑layer data. Apply best‑practice modeling (star, snowflake) and define standardized business metrics. Collaboration Partner with data engineers, analysts, and business stakeholders to translate reporting requirements into scalable models. Performance & Optimization Improve dataset performance us

Data Solutions Architect 5 Locations posted: Posted 30+ Days Ago

Engagement Manager Tokyo, Japan Req: CSQ427R98 Location: Tokyo, Japan The Engagement Manager assures customer success by driving customer satisfaction throughout the customer success & services life-cycle for our customers, from orchestrating the engagement to successful delivery and beyond. As an Engagement Manager, you will ensure that our customers are making the most value of our products and services by positioning, preparing, managing the delivery and follow-up of our professional services and training engagements. This role is a strategic and cross-functional position that will partner closely with Sales, Field Engineering, Support and Product Teams on campaigns, programs, and content. You will report to the Director, Professional Services. The impact you will have: - Demonstrate a passion for the job and lead by example by putting Databricks and our customers first to achieve the sales and delivery mission - Collaborate with the sales counterpart and engage early in the sales process to seek to understand our customers' needs, their business, how success is defined, and ensure that we are exceeding expectations in delivery and developing valued solutions - Identify opportunities for new services by understanding and addressing potential new use cases and the ability to articulate the business value in the upsell, or extension of services - Performs as the Engagement Manager in the assigned area with full accountability for meeting/exceeding Professional Services and Training bookings and revenue targets - Ability to articulate relevant customer success stories, services offerings, and metrics that demonstrate value to the customer - Consult with clients to

Senior Data Engineer George Town, Penang, Malaysia Company Description: Job Description: We are looking for a Senior Data Engineer to lead the design and delivery of scalable, high-performance data platforms that power analytics and business intelligence across the organization. This role combines hands-on engineering, architecture leadership, and team mentorship, requiring someone who can translate complex business needs into robust data solutions while driving best practices in modern data engineering. Responsibilities: Design and development of robust, scalable data pipelines and ETL/ELT solutions Architect and optimize data processing frameworks using Apache Spark and Delta Lake Develop and manage data solutions on the Databricks platform Collaborate with business, analytics teams to translate requirements into technical designs Ensure data quality, integrity, performance, and security across data platforms Implement and enforce data engineering best practices, standards, and governance Integrate data from multiple internal and external sources using modern integration tools Drive CI/CD implementation and DevOps practices for data pipelines Monitor, troubleshoot, and optimize data workflows and system performance Mentor junior engineers and provide technical guidance Participate in design reviews and contribute to architectural decisions Qualifications: Strong proficiency in Apache Spark, Delta Lake, and distributed data processing Advanced SQL and Python programming skills Extensive hands on experience with the Databricks platform Solid experience in data pipeline design, ETL/ELT frameworks, and data orchestration Experience with traditional databases such as Oracle and SQL Server Proficiency with source code management and project tracking tools such as GitHub and Jira Additional Information: Renesas is an embedded semiconductor solution provider driven

Data Center Solution Architect 4 Locations posted: Posted Today

Performance Engineer II Country United States What You Can Expect As a BESS Performance Engineer II within ENGIE North America's Renewable & Flex Power Generation Business Unit, you will provide data analytics support for the company's renewable assets across the USA. Reporting to the Performance Analytics Manager, your main focus will be on improving and optimizing the performance of operational Battery Energy Storage System (BESS) sites using advanced analytics, data visualization, and performance indicator reporting. Primary Duties: Maintain tools that monitor the overall performance and availability of the operating fleet (primarily battery storage, but also wind and solar) Assist in developing and implementing advanced analytics to proactively identify failure modes and provide operations with actionable insights Support field operations with equipment testing and data collection; interpret results and provide recommendations. Participate in detailed analysis and investigations during equipment failures or other underperformance issues Support data needs for budgeting, spare parts management, and other operational tasks Improve KPI (key performance indicator) reporting tools and dashboards What You'll Bring Bachelor's degree in science, engineering, math, or equivalent certification/training Minimum of two (2) years experience in data analytics or operations at power plants (wind, solar, BESS) is a plus Basic knowledge of data visualization tools and platforms (e.g., Power BI, Grafana, Databricks) Familiarity with p