251 to 275 of 1,388 Permanent Databricks Jobs

data architecture and data engineering principles Ideally, experience using modern cloud-based analytics and reporting platforms such as Microsoft Fabric, Azure Data Services, Databricks, Snowflake, or similar technologies, alongside a demonstrable interest in automation, emerging technologies, and data best practice The Air PFCC Data Function Team: A close‐knit team ...

code, code review, CI/CD). Data & Pipeline Expertise: Hands-on experience optimizing data models and access patterns for modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats ...

code, code review, CI/CD). Data & Pipeline Expertise: Hands‐on experience optimizing data models and access patterns for modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats ...

technical recommendations in clear business terms. Strong architecture judgement across modern data platforms, integration patterns and analytical systems. Depth in platforms such as Snowflake, Databricks or Microsoft Fabric/Azure, with the ability to assess alternatives against business requirements. A grounding in data engineering, including ingestion, transformation, data modelling ...

DevOps Engineers, and Solution Architects who help our clients deliver and operate cloud data platforms on AWS, Azure and GCP, including technologies such as Databricks and Snowflake. As a DataOps Engineer, you will partner closely with engineering and delivery teams to standardise ways of working, improve data application reliability ...

MLOps/LLMOps (MLflow, CI/CD, monitoring, deployment patterns such as blue-green and canary) Cloud and data platforms (Azure, AWS or GCP; Databricks, Snowflake); Python, SQL, PySpark Experience leading proposals, solution architecture and commercial estimation in a consulting or services environment Confident communicator able to explain complex ...

real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks Ability to think strategically and relate architectural decisions and recommendations to customer needs. Ability to assess traditional and modern data architectural components based on business ...

platforms) and an understanding of how they can be applied in a business context Familiarity with cloud-based data platforms (e.g. Azure, AWS, Databricks) and/or programming languages such as Python is advantageous Understanding of how automation and AI can drive efficiency, scalability, and enhanced decision intelligence within ...

expectations on data and AI. Experience with using data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau, Databricks, Snowflake, Microsoft Purview, Collibra, Informatica, Claude, Chat GPT, Microsoft Copilot, Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience ...

predictive and generative AI), plus the ability to communicate value to diverse audiences.* Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC).* Hands-On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like ...

QUALIFICATIONS • Hands-on experience with digital clickstream or behavioral analytics data (Adobe Analytics, Amplitude, or similar), including its identity and measurement limitations • Experience with Databricks, PySpark, or comparable large-scale data processing • Experience establishing metric governance - canonical definitions, reconciliation across teams, and change management on metric logic • Experience with ...

Analytics delivery. Do Your Talents Include the Following? Deep technical expertise within one or more major cloud data ecosystems, including Microsoft Azure and Fabric, Databricks, AWS and Snowflake, or Google Cloud Platform and BigQuery. Proven experience architecting and implementing enterprise-scale data platforms within client environments. Strong knowledge of modern ...

modelling) in a regulated enterprise setting. Strong understanding of cloud data platforms and their application in analytics and AI (e.g., AWS, Azure, GCP, Snowflake, Databricks), along with data management, governance, quality, and security practices. Sound knowledge of the insurance value chain: policy and claims data, underwriting and pricing processes, distribution ...

Consulting implementation partner or as part of a delivery/technical consulting team in a software company.* Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture* Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure ...

Overview Strategic Account Executive - Consumer Goods Industry, London, United Kingdom. Databricks is seeking a Strategic Account Executive to grow one of our most strategic CPG customers in the UK, leveraging experience in selling to the sector and managing large, multi-national accounts. Reporting to the Director, Sales, you will bring … usage and booking goals. Lead your team, customers and partners to identify impactful big data and AI use cases and demonstrate value on the Databricks Data Intelligence Platform. Implement the customer’s big data and AI transformation goals through strategic partnerships, scoped professional services, training and targeted Executive Engagement. Develop ...

orchestration tools (e.g. Power Automate) to support BI delivery, quality, or operational efficiency. Exposure to modern cloud data platforms (e.g. Azure data services, Databricks, Synapse, Fabric) and their use in analytics architectures. Exposure to designing data models that are optimised for Generative AI consumption to support natural language querying ...

testing frameworks or CI/CD pipelines would be beneficial.• Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous.• Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real ...

testing frameworks or CI/CD pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real ...

testing frameworks or CI/CD pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real ...

testing frameworks or CI/CD pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real ...

testing frameworks or CI/CD pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near real ...

Hands-on experience building, deploying, and scaling AI/ML solutions using frameworks and platforms such as Scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, Databricks, Spark, vector databases, cloud services (AWS/Azure), and MLOps tools including MLflow and Kubeflow. Proven ability to develop production-grade, large-scale AI systems ...

helping customers move away from legacy data warehouses, databases and fragmented data estates towards modern lakehouse, warehouse and federated designs on platforms such as Databricks, Snowflake, Microsoft Fabric and Starburst. In a pre-sales capacity, there is a demand for both technical and commercial awareness coupled with an ability … view of consumption-based platform costs and how to optimise them. Independent Platform Viewpoint - Give customers impartial, evidence-based advice across platforms such as Databricks, Snowflake, Microsoft Fabric and Starburst. Recommend the right fit for their requirements, existing investments and skills, rather than defaulting to one vendor. Opportunity Qualification & Discovery ...

Are you ready to push the boundaries of what’s possible? At JPMorganChase, you’ll have the chance to make a real impact while growing your skills and advancing your career. We value creativity, collaboration ...

regulatory requirements Architecting and delivering modern data platforms leveraging Azure technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/ELT frameworks, data pipelines, Lakehouse architectures and real-time data solutions, ensuring engineering excellence … Deep expertise in the Microsoft Azure Data Platform, including services such as Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Extensive experience designing and implementing enterprise-scale data architectures, including data modelling, ETL/ELT frameworks, Lakehouse solutions, batch ...