76 to 100 of 283 Remote Databricks Jobs

architectures. Experience designing scalable and secure enterprise data platforms using technologies such as Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake. Data Management, Governance & Controls – Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity … insurance functions. Ability to design architectures that support self‐service analytics, management information, and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake. AI & Advanced Data Capabilities – Understanding of emerging Artificial Intelligence & ML Ops platforms. Experience designing architectures that enable trusted, governed, and scalable AI adoption ...

cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake. Please Note: Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain … focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design ...

cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS. The Role You Are Considering As a Data Engineer, you will be an integral part of our team dedicated to building … communication and teamwork skills. In addition to these core skills, you should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other ...

engineers. Ideal candidates have 7+ years in data engineering, strong SQL/Python, and hands-on experience with Azure/AWS/GCP, Databricks, Snowflake and CD/CI, DataOps, and data governance. #J-18808-Ljbffr ...

Senior Enterprise Architect – Databricks About the Role As a Senior Enterprise Architect – Databricks , you will lead the Technical Design Authority (TDA) function for a large-scale Databricks transformation program. You will be responsible for governing enterprise architecture decisions, driving design assurance, and ensuring all technical solutions align with business objectives … direction across the program. Key Responsibilities Technical Design Authority Leadership Lead and chair the Technical Design Authority (TDA), reviewing and approving solution designs across Databricks workstreams Establish and govern architecture review processes, including submission standards, governance forums, decision logs, and approval workflows Ensure architectural alignment with enterprise standards, target‐state ...

with a strong operational and platform administration background who can manage, support and improve enterprise cloud data services. You'll need experience with: Microsoft Databricks Microsoft Fabric Azure Data Factory Azure Data Lake Azure SQL Power BI Administration and operational support of Azure data platforms You'll also ideally have ...

this role you must be an accomplished Data Engineer with hands-on experience with Microsoft Fabric and Azure data services, including technologies such as Databricks, Data Factory, Azure SQL Managed Instances, and Data Lake solutions. You will have a proven track record of designing and optimising data warehouses and large ...

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery ...

modern MLOps practices including CI/CD, version control (Git) and infrastructure automation Experience working with cloud platforms and modern data ecosystems (Azure and Databricks experience beneficial) Strong understanding of machine learning principles and model deployment processes Excellent communication skills with the ability to explain technical concepts to non-technical ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

experience working within Azure-based environments and be comfortable making architecture decisions involving technologies such as: Azure SQL/SQL Server Microsoft Fabric Azure Databricks Dataverse Microsoft Purview API-led integration architectures Structured and unstructured data platforms Deep engineering expertise across every technology is not required. However, candidates must ...

enterprise data catalogue platforms Experience with master and reference data management tools (e.g. Ataccama, Profisee – desirable) Working knowledge of the Microsoft Azure ecosystem, including Databricks and Power BI Excellent communication, stakeholder management and influencing skills Experience delivering solution-level data architecture across complex projects and programmes Experience producing data impact ...

Python skills with the ability to work independently on complex analytical problems and large datasets in cloud data warehouses (e.g. AWS Redshift, Databricks etc.) Dashboarding & Reporting Strong experience building and maintaining dashboards in BI tools such as QuickSight, Looker, Tableau, or Power BI. Statistics & Experimentation Solid understanding of statistical concepts ...

analytical tools and languages (e.g., SQL, Python, R) and visualisation tools (Power BI, Tableau). Familiarity with modern cloud data environments (e.g., Snowflake, Databricks). Excellent communicator, able to present complex data in clear, concise, and compelling ways to senior stakeholders. Highly collaborative, comfortable working across multiple teams and disciplines. ...

analytical tools and languages (e.g., SQL, Python, R) and visualisation tools (Power BI, Tableau). Familiarity with modern cloud data environments (e.g., Snowflake, Databricks). Excellent communicator, able to present complex data in clear, concise, and compelling ways to senior stakeholders. Highly collaborative, comfortable working across multiple teams and disciplines. ...

version control, and Responsible AI/MRM compliance Enterprise AI Integration & Data API- and event‐driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain‐driven design, event ...

strategies, or job efficiency, and treat compute as a resource to manage, not ignore Platform fluency: worked across orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark) AI Native: experienced in agentic coding workflows (context, harness, loop, and graph engineering), and able to embed ...

Stack & MLOps Proficiency in Python (scikit-learn, pandas, PyTorch/TensorFlow) and SQL for large-scale data analysis Experience with modern data platforms (Snowflake, Databricks, or similar cloud data warehouses) Demonstrated MLOps capabilities using tools like MLFlow, SageMaker, Vertex AI, or Azure ML Experience building real-time ML inference systems ...

Role: Contract Technical Lead Programme: Azure Databricks Platform Industry: Commodities/Energy Trading Location: London (Hybrid) Contract: Initial 6-month contract (long-term transformation programme) Rate: £900-1000/day (Inside IR35) X4 Technology are partnered with a leading global energy trading organisation delivering a major transformation, centred … their enterprise data landscape through Azure Databricks. As part of this multi-year programme, the business is migrating Oracle-based data platforms into Azure Databricks to create a scalable data platform supporting Endur, global reporting, analytics and risk, while reducing critical data latency from 10–15 minutes to near real ...

solutions. Tech environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes and GPU infrastructure. What we're looking for Proven enterprise AI or ML architecture design, strong cloud and modern data platform knowledge, and demonstrable experience ...

Extensive experience as an Enterprise Data Architect within large, complex organisations Previous line management or leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives ...

teams Experience Required Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

modern BI tool (e.g. Tableau, Omni, Looker, Power BI) and strong SQL is essential. Desirable skills: · Ideally has experience with the tech stack (Tableau, Databricks, Snowflake, dbt ). · Exposure to AI-assisted development or analytics tools (e.g. Claude, Copilot) is a plus. · Degree or Masters in a numerate subject such ...