176 to 200 of 670 Permanent Databricks Jobs

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 ...

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 ...

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 ...

security expectations; ability to guide peers on safe and effective usage within team practices. Preferred Qualifications, Capabilities, and Skills: Experience building data products on Databricks using lakehouse patterns, including Delta Lake and medallion architecture Familiarity with enterprise data platforms and data mesh principles, including domain-aligned datasets and well-defined ...

methodologies, CI/CD, application resiliency, and security Practical cloud‐native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands‐on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines ...

organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time. With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness. About the Role as a Senior ...

training or certification on infrastructure engineering concepts and advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation) Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation ...

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. ...

Experience serving as an application owner, site reliability engineer, production management lead, or technology risk and controls partner in a regulated environment Familiarity with Databricks and cloud data‐lake patterns using object storage as a core data store Experience driving remediation of security findings and coordinating coordinated upgrades across frameworks ...

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. ...

commercial analytics, or business operations Experience working in healthcare, pharmaceutical, or distribution industries Experience with modern analytics platforms and cloud-based data environments (e.g., Databricks, Microsoft Fabric, Snowflake, Synapse). Experience with SQL or data querying tools MBA or advanced degree preferred Salary: 119 300.00 USD Annual with ...

experience designing and implementing multi‐agent architectures 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‐driven ...

hiring processes Strongly Preferred Skills MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps Infrastructure as Code Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited ...

owners and governance stakeholders to establish common definitions, terminology and semantic alignment.Supporting the implementation of enterprise semantic architectures across modern data platforms, including Snowflake, Databricks and associated metadata ecosystems.Collaborating closely with manufacturing SMEs, solution architects, data engineers and governance teams to ensure enterprise-wide consistency and reuse of semantic assets.Providing ...

Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming Languages Python, SQL, Spark dbt, Airflow/AWS MWAA, AWS Glue Platforms Databricks, Snowflake, Amazon Redshift Great Expectations, dbt tests, reconciliation frameworks, data observability tooling IaC/DevOps Terraform, AWS CDK Certification AWS Professional or Specialty level strongly ...

Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming Languages Python, SQL, Spark dbt, Airflow/AWS MWAA, AWS Glue Platforms Databricks, Snowflake, Amazon Redshift Great Expectations, dbt tests, reconciliation frameworks, data observability tooling IaC/DevOps Terraform, AWS CDK Certification AWS Professional or Specialty level strongly ...

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 ...

following areas: Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps ...

scaffolder templates, or plugin development* Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt* Exposure managing Databricks* Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context* Experience working in regulated financial services environments ...

including proficiency in Python and experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt ...

strong partnerships with AWS,Azureand GCP.We'reinterested to hear fromDataArchitects with experience acrossthe majority ofleading vendors including Azure, AWS, Google Cloud Platform,Databricks, Snowflakeand more. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with ...

/PRA, PII handling, data residency, guardrails and red‐teaming. Graph or taxonomy‐based knowledge representation alongside vector retrieval. Kafka/streaming, Databricks, or comparable large‐scale data platform experience. Nice to have Voice and multimodal agents; evaluation of non‐text outputs. FinOps for AI workloads; unit‐economics modelling ...

HCLTech in London seeks a Senior Technical Lead to drive the technical aspects of data projects involving Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL and Python. You will design, develop and maintain scalable data pipelines and ETL processes to deliver high-performance data solutions. You will collaborate ...

experienced Data Engineer to design, build, and maintain scalable data pipelines powering Moody’s next-generation digital content platform. You will work with DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS, driving platform optimizations and cross-functional collaboration. In this role, you’ll collaborate with product owners ...

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 ...