926 to 950 of 1,094 Databricks Jobs

JPMorgan Chase & Co. is seeking a Software Engineer II in the Payments Technology team to design, build, and operate scalable data pipelines on the Databricks Lakehouse. You will collaborate with data analysts, data scientists, and application teams to deliver trusted datasets and well-governed data products. Responsibilities include designing batch …/streaming pipelines with Databricks Spark, Delta Lake, and orchestrators; developing Spark jobs and SQL transformations; building data models and #J-18808-Ljbffr ...

Business UnitCloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological ...

Join Kainos and Shape the Future At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge ...

As an ML (Machine Learning) Engineer at Checkout.com in the Disputes ML team, you will contribute to the development of our brand‐new ML‐driven dispute optimisation suite. This is a unique opportunity to get ...

hackajob is partnering directly with Kainos to hire for this role. Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. ...

Associates is seeking a Senior SC Cleared Data Engineer with extensive Azure Databricks experience to join a UK Central Government data team responsible for designing and developing high-volume datasets and robust data pipelines. You will work with Spark-based technologies, build, automate and operate data pipelines, and apply ...

Citi Belfast is seeking an experienced Data Engineering Lead to drive cloud-native data services and Databricks adoption. You will lead Spark/Scala implementations, AI-enabled analytics, and scalable data platforms on AWS, aligning with enterprise standards and governance. You will mentor engineers, coordinate with senior leaders, and guide ...

DraftKings is looking for a Senior Data Platform Engineer to enhance our data capabilities. In this role, you will own and operate the Databricks infrastructure, ensuring its performance and reliability. You’ll build cloud infrastructure with AWS and Terraform while leading engineering projects from design to implementation. The ideal candidate ...

Clearance. (SC clearance can take 3 months to get) You will guide high-performing teams to design and implement scalable data solutions leveraging Databricks and cloud-native tools. This role blends technical leadership with strategic oversight, shaping the future of data platforms for some of our most high-impact clients … guiding our teams in modern approaches and best practices. Key Responsibilities Lead and mentor cross-functional data engineering teams to deliver end-to-end Databricks solutions. Own project delivery, stakeholder communication, and issue resolution across cloud data engagements. Enforce best practices around data governance, observability, and CI/CD pipelines. ...

CSQ427R31At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field … engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise ...

closely with engineers, architects, and stakeholders while remaining hands-on enough to prototype and solve complex technical challenges.Core ResponsibilitiesDesign and implement secure, high-performance Databricks environments including cluster setup, governance, and tuningDefine and own the technical roadmap for the organisation’s data platformEnsure systems meet standards for performance, security, maintainability … transfer across teamsStay current with modern best practices in data engineering and architectureWhat They’re Looking ForProven experience designing large-scale data platforms and Databricks infrastructureStrong understanding of Databricks internals, including cost and performance optimisationAdvanced Python skills and software development best practices (e.g. testing, abstraction, modularity)Familiarity with modern data ...

GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications … Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including ...

Databricks is seeking a Forward Deployed Engineer to work with customers to design, build and productionize data and AI solutions on the Databricks platform. You will own the architecture and deliver end-to-end systems across data engineering, ML/AI, and application development. This hands-on, customer-facing role ...

Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production‐grade ML and AI applications … Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production‐level ML and AI workloads, including ...

work with modern AI technologies and help influence how they’re adopted across the wider business. You'll be working with technologies including Azure Databricks, Azure Machine Learning, Azure AI Foundry, LangChain, LangGraph and Python, building enterprise AI applications using RAG, vector databases, prompt orchestration and tool‐calling patterns. … need experience with: Deploying LLMs and machine learning models into Azure enterprise environments. Azure Databricks, Azure Machine Learning and ideally Azure AI Foundry. Building production AI applications using LangChain, LangGraph and Python. MLOps/LLMOps including deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool‐calling ...

numbers right. You'll be: Designing and building the dashboards that leadership actually relies on Working directly with stakeholders Pulling data together from Databricks and other cloud sources into reliable pipelines Spotting trends and flagging what matters before anyone has to ask Partnering with data engineering to keep everything joined … gaps and pushing for better data at the source To Be Considered: Solid hands-on Power BI experience - building, not just consuming Comfortable with Databricks or similar cloud platforms (Synapse, Snowflake, that world) Strong SQL A good handle on data modelling and getting dashboards to actually perform Confidence presenting insights ...

Google Cloud Platform (GCP).Lead, mentor, and develop the existing team of two data engineersBuild and optimise robust data pipelines with Python, Snowflake, and Databricks, ensuring seamless integration into business processes.Drive CI/CD best practices to maintain reliability and efficiency in all aspects of the data engineering lifecycle.Deliver actionable … Cloud Functions.Proficiency in Python, SQL, and modern data engineering tools, plus familiarity with JavaScript for cross-functional collaboration.A strong background in Snowflake and Databricks to support scalable data solutions.Leadership skills, with experience mentoring a team, and the ability to inspire and grow talent.A commercially minded approach, with the ability ...

techniques using WTW Radar and Emblem. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Create innovative data solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption … general insurance pricing with strong modelling skills. Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software is preferred. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. Excellent communication ...

developer experience enablement, with a strong focus on CI/CD transformation (Azure DevOps to GitHub), platform tooling, and data platform integration (Snowflake, Databricks). You will act as a subject matter expert (SME) across DevOps tooling, automation, and platform reliability—driving best practices, standardisation, and self‐service capabilities … management), and Veracode (application security), embedding security controls into pipelines and platform services.Enable and support DevOps practices for core data platforms, including Snowflake and Databricks, covering environment provisioning, CI/CD integration, and access control models.Implement observability frameworks, including monitoring, logging, and alerting, and contribute to SRE practices such ...

that enable real‐time and batch data processing at scale. Responsibilities Drive platform capability improvements – continuously enhance distributed data platforms using knowledge of Spark, Databricks, Kafka, Pulsar, Cassandra, and object stores to maintain best‐in‐class capabilities. Enable application data consumption – understand how applications produce and consume data, designing solutions … read/write patterns, scalability, and performance. Deliver cloud‐native data solutions – architect and implement data platforms on AWS leveraging cloud native services, Databricks, object stores (S3), and distributed compute frameworks. Provide technical leadership and mentoring – mentor engineers and architects on distributed data platform patterns, helping teams deliver robust solutions ...

segmentation, recommendation engines and experimentation frameworks that support business decision-making. Data Engineering & Model Productionisation: Develop robust analytical datasets and machine learning pipelines using Databricks, Python, SQL and Spark, ensuring solutions are scalable, reliable and production-ready. Stakeholder Partnership & Commercial Impact: Partner with business stakeholders to define hypotheses, success measures … advanced analytics solutions within commercial environments. Python, SQL & Data Platform Expertise: Advanced Python and SQL skills, with experience building reproducible machine learning workflows using Databricks, Spark or similar large‐scale data processing technologies. Machine Learning & Statistical Expertise: Deep understanding of supervised and unsupervised machine learning, feature engineering, model evaluation, experimentation ...

cloud modernization Experience within large enterprise environments Agile/SAFe experience Healthcare experience strongly preferred Enterprise Architecture (TOGAF preferred) Modern data platforms and technologies; Databricks experience preferred AWS and cloud-native architecture AI architecture and an understanding of how enterprise architecture must evolve to enable AI Microservices, domain-driven design …/CD, Infrastructure as Code, DevSecOps, and software development lifecycle modernization Desired Skills: Healthcare payer experience AI architecture or AI-related enterprise architecture experience Databricks experience Amazon Redshift and/or Kafka experience TOGAF certification AWS Solutions Architect certification Enterprise digital transformation experience Application portfolio management Cloud modernization programs Executive ...

Kubrick is seeking a Senior Manager Databricks Engineer in Greater London to lead the delivery of data/ML platforms. You will mentor teams, influence stakeholders, and contribute to Kubrick’s growth across various industries. The role requires strong expertise in Databricks, cloud platforms, and exceptional Python and SQL skills. ...

focused delivery partner rather than a time-and-materials augmentation provider Bringing deep, current expertise in cloud-native and serverless data platforms, including AWS, Databricks, Snowflake and/or BigQuery Applying regulated-industry delivery experience across data governance, platform resilience, audit and compliance constraints Representing Optima at industry events … industries Ability to discuss architecture decisions in detail and assess technical trade-offs credibly Working knowledge across major cloud and data platforms including AWS, Databricks, Snowflake and Big Query Deep data engineering and platform credibility, with a working understanding of data science, generative AI and agentic AI Exposure ...

Cognizant is seeking a Data Platform Architect to design a Databricks Lakehouse on AWS, shaping the enterprise data platform for public sector initiatives. The role collaborates with data engineers, cloud architects, and governance teams to ensure scalable, secure analytics capabilities. London-based hybrid work with security-clearance considerations. The ideal … candidate brings extensive Databricks, AWS, and governance experience, along with a track record in regulated environments and strong #J-18808-Ljbffr ...