676 to 700 of 762 Databricks Jobs

consistent ways of working and repeatable approaches Drive adoption of machine learning solutions ensuring sustained client value Build strong relationships with partners such as Databricks Pega and Adobe and contribute to client account growth Line manage team members supporting performance development and wellbeing Contribute to recruitment strategy and scaling … business problems into data modelling and decisioning solutions Strong understanding of modern data science tooling and ecosystems such as Python R SQL MLOps and Databricks Commercial awareness with the ability to identify and shape high value use cases Excellent stakeholder engagement skills including working with senior and C suite clients ...

team through coaching and code reviews. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Communicate pricing proposals and insights clearly and persuasively to stakeholders at all levels. Collaborate with Modelling, Optimisation, and Street Pricing teams to ensure solutions … techniques (e.g. GLMs and machine learning models). 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 and optimisation tools. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. ...

wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack – coding agents, agentic harnesses, MCP, in‐platform AI in Snowflake and Databricks, and the JHOS/NEXUS platform Percepta is building – but the firm’s AI strategy is platform‐agnostic. You will be expected to evaluate, learn … time, change failure rate, time to restore), survey‐based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape – coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA ...

business workflows Liaising with integration teams to support design and delivery end-to-end across structured and unstructured data sources and platforms, such as Databricks, Microsoft 365, SharePoint, Salesforce, Guidewire, ServiceNow, Workday, etc Providing technical leadership and guidance for pilot and solution delivery teams, building reference implementations and scaling successful … shape pragmatic, future-facing AI solutions Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking, and policy enforcement We’re proud ...

business workflows Liaising with integration teams to support design and delivery end-to-end across structured and unstructured data sources and platforms, such as Databricks, Microsoft 365, SharePoint, Salesforce, Guidewire, ServiceNow, Workday, etc Providing technical leadership and guidance for pilot and solution delivery teams, building reference implementations and scaling successful … shape pragmatic, future-facing AI solutions Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking, and policy enforcement We’re proud ...

business workflows Liaising with integration teams to support design and delivery end-to-end across structured and unstructured data sources and platforms, such as Databricks, Microsoft 365, SharePoint, Salesforce, Guidewire, ServiceNow, Workday, etc Providing technical leadership and guidance for pilot and solution delivery teams, building reference implementations and scaling successful … shape pragmatic, future-facing AI solutions Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking, and policy enforcement We’re proud ...

business workflows. Liaising with integration teams to support design and delivery end-to-end across structured and unstructured data sources and platforms, such as Databricks, Microsoft 365, SharePoint, Salesforce, Guidewire, ServiceNow, Workday, etc. Providing technical leadership and guidance for pilot and solution delivery teams, building reference implementations and scaling successful … shape pragmatic, future-facing AI solutions. Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks; or alternatives. Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking, and policy enforcement. We’re proud ...

wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack—coding agents, agentic harnesses, MCP, in‐platform AI in Snowflake and Databricks, and the JHOS/NEXUS platform Percepta is building— but the firm’s AI strategy is platform‐agnostic. You will be expected to evaluate, learn … time, change failure rate, time to restore), survey‐based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape—coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA ...

essential. Technical Fluency: A strong conceptual mastery of modern data platforms. You do not code, but you understand the architectural implications of AWS (S3), Databricks, dbt, Apache Iceberg, and legacy mainframe/SAS ecosystems well enough to guide technical decision-making. Stakeholder Influence: Proven ability to manage C-suite … teams to migrate ~11,000 tables, 4,400 SAS scripts, and 500 BTEQ scripts, ensuring full alignment with the programme’s «Lakehouse» architecture (AWS, Databricks, Apache Iceberg). Strategic Stakeholder Management: Act as the primary liaison between GlobalLogic’s delivery units and senior Barclays stakeholders. Provide transparent reporting on programme ...

Job Title Lead Manager - Geospatial Location Asda House Employment Type Contract Type Permanent Hours per Week 37.5 Salary Competitive Salary plus benefits Category Market Research Closing Date 27 August 2026 Lead Manager - Geospatial Role Purpose ...

Join us at Barclays as an Integrated Financial Crime Machine Learning Engineer. You will design, build and deploy machine learning models that support scalable, high quality financial crime detection across the bank. You will work ...

Global Data Governance Manager, Head of Data, Professional Services, Partnership Firm, Regulated Environment, Governance, Compliance, CDO, Central London Global Data Governance Manager/Head of Data required to work for an exciting Professional Services firm ...

Global Data Governance Manager, Head of Data, Professional Services, Partnership Firm, Regulated Environment, Governance, Compliance, CDO, Central London Global Data Governance Manager/Head of Data required to work for an exciting Professional Services firm ...

transformation. The role involves working closely with senior stakeholders to design and deliver scalable data platforms. The ideal candidate will have deep expertise in Databricks and strong client-facing consulting skills. This position offers a flexible remote working model and opportunities for training and certification. #J-18808-Ljbffr ...

transformation. This role involves designing scalable data platforms and engaging with senior stakeholders to deliver technical solutions. The ideal candidate has significant experience with Databricks and consultancy skills, capable of leading engineering teams and delivering high-quality solutions in a remote setting. Join us to work on impactful projects ...

with internal KP teams, platform engineering, operations and vendors to enable delivery of required product capabilities in the data analytics space, driving product for Databricks and providing success management across Azure platform service consumers from project inception through go-live. Additional duties include: Responsible for early engagement and architecture consulting ...

with colleagues across JPMorgan Chase & Co.'s global network of innovators. Job Responsibilities Expertise in application development and support with multiple technologies such as Databricks, Snowflake, AWS, Kubernetes, etc. Coordinate incident management coverage to ensure effective resolution of application issues. Collaborate with cross‐functional teams to perform root cause analysis … teams and build meaningful relationships to achieve common goals. Preferred Qualifications 4+ years in an SRE or production support role with AWS Cloud, Databricks, Snowflake or similar Technologies. AWS and Databricks certifications. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender ...

also have:- Knowledge and experience with non-EVM chains such as Solana, TON, and Sui.- Experience with indexing and ETL at scale (Spark/Databricks).- Knowledge of Infrastructure as Code (Terraform) and managing services in Kubernetes.- Contributions to open-source blockchain projects.Technologies we use:- Languages: Java, TypeScript- Data Processing … Spark, Databricks, PostgreSQL- Infrastructure: AWS (Serverless & EKS), Kubernetes, Terraform- CI/CD: GitHub Actions### Skills Required* Java* TypeScript* Spark* Databricks* PostgreSQL* AWS* Kubernetes* Terraform* GitHub Actions* EVM* UTXO* Solana* TON* Sui #J-18808-Ljbffr ...

will have: You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the Financial services segment. You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires … plan You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform You will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped ...

remains secure, reliable, and cost-effective. What you'll be doing: * Manage, support, and improve the Azure-hosted Enterprise Data Platform. * Administer and optimise Databricks infrastructure for stability, security, and performance. * Design, build, and maintain cloud infrastructure using Terraform and Infrastructure as Code. * Develop automated deployment pipelines with Azure DevOps … teams to enhance platform capabilities and troubleshoot issues. * Contribute to architecture decisions, automation strategies, and engineering standards. What you'll bring: * Proven experience managing Databricks infrastructure in cloud environments. * Strong background in administering cloud-based data platforms within Microsoft Azure. * Hands-on expertise with Terraform, Azure DevOps, GitHub ...

Experian, and we’re pushing hard into enterprises in US and UK. Our Customers love us, we partner with folks like Snowflake and Databricks , over 50,000 followers on social media, and growing fast. We’re building out our Go-to-Market engine, hiring across Sales, Business Development … online and in-person events around the world, generating pipeline and nurturing relationships. Partner Motion: Working with partners across the likes of Snowflake/Databricks ecosystem to identify opportunities and co-sell. Foundation for Scale: Laying the groundwork for a repeatable, scalable AE function as we grow. Exceptional Candidates Have ...

monitoring and issue management . Embed Data Quality into data migrations, integrations and transformation programmes . Lead the adoption and use of Collibra and Databricks Unity Catalog . Improve data monitoring, reporting and preventative controls, with a focus on quality at source. Partner with Data Owners, Data Stewards, technology teams … experience embedding Data Quality into migrations, integrations and transformation programmes . Strong understanding of Data Governance and trusted data. Hands-on experience with Collibra, Databricks Unity Catalog or comparable tooling. Experience with modern cloud data platforms, particularly AWS and/or Azure . Excellent stakeholder management skills, with the confidence ...

page. After the closing date, this vacancy will be removed from our website. Build production-grade machine learning solutions using Databricks, MLflow, AWS and modern MLOps practices. Own the complete machine learning lifecycle , from scalable data processing and model training to production deployment and monitoring. Collaborate in a multidisciplinary engineering … environments. Develop scalable MLOps capabilities, including CI/CD pipelines, automated testing, model versioning, deployment strategies, drift detection and rollback mechanisms. Build and operate Databricks-based data processing and machine learning workflows at scale. Manage MLflow for experiment tracking, model registry and reproducible machine learning deployments. Deploy, operate and optimize ...

nation's financial system. The Bank of England, in partnership with Inspire People, is seeking a Lead Solution Architect with Azure expertise (ADLS, Databricks, App Services, Purview), knowledge on data-collection platforms and the ability to produce clear, high-quality architectural artefacts. Based in Leeds on a 21-month … Support procurement processes, vendor assessments and technical requirements across key programmes. Essential skills for the Lead Solution Architect include: * Strong Azure capability across ADLS, Databricks, App Services, Purview, identity and integration patterns. * Proven experience shaping enterprise architecture artefacts including HLDs, blueprints, options and phased roadmaps. * Advanced data-collection and modelling ...

metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access — self‐service provisioning, entitlement workflows, one‐click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups. Collaborate with Engineering, Design & Data Science Work with … marketplace APIs can be exposed to LLM‐based agents. Experience with search relevance & recommendation systems — ranking algorithms, semantic search, personalisation. Hands‐on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work on firm‐wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMC. Shape ...