Blue Cloud Softech - Data & AI Solution Architect in… - Jobeax
Vacancy description
Blue Cloud Softech - Data & AI Solution Architect in Bengaluru, India
Blue Cloud Softech Solutions Limited
RemoteWork from anywhere
India, Bengaluru
Blue Cloud Softech - Data & AI Solution Architect in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Role : Data & AI Solution Architect - Data Modelling & Conversational AILocation : Remote (Bangalore).Experience : 8+ https://jobeax.com/link/NvD7kaZTflbs2EcH The Role : We are seeking experienced Data & AI Solution Architects to support the design of enterprise data models and conversational AI architecture for the OneData https://jobeax.com/link/pOgGkFTA0iNbJQIL within the Enterprise Architecture team, you will design enterprise data modelling and conversational AI architectures that enable trusted data and AI analytics across the https://jobeax.com/link/Iz0FqSyOgCcbJYCP primary focus will be on reusable data modelling standards, solution architecture patterns, and semantic engineering frameworks that enable self-service analytics, modern data engineering, and Databricks Genie conversational https://jobeax.com/link/80R4u3Mod2ymK61H will also guide delivery teams in adopting enterprise architecture standards and best practices to deliver trusted, governed, and scalable data https://jobeax.com/link/oW0eXKqe6ASvhP0z will translate enterprise architecture standards into solution designs, reusable patterns, and technical guidance, enabling HUB & SPOKE teams to independently build trusted data products aligned with the OneData https://jobeax.com/link/2Y4cCTL2qZrUlGJ5 You'll Do : - Create enterprise data models (ERDs), semantic architectures using Databricks Metric Views, and Databricks Genie solution architectures to support trusted data products, self-service analytics, and conversational AI.- Design solution architectures for modern data and AI platforms on Databricks.- Define and promote enterprise standards for data products, data modelling, Medallion Architecture, DBT, Unity Catalog, and data engineering.- Create reusable architecture patterns, reference designs, and implementation guidance for HUB & SPOKE teams.- Design semantic models and architecture patterns that enable trusted analytics, and Databricks Genie conversational AI.- Lead architecture reviews, design workshops, office hours, and technical coaching to guide teams in delivering solutions aligned with enterprise https://jobeax.com/link/UU3YaVYpbavIGVnQ : - 8+ years of experience in enterprise solution architecture or modern cloud data platforms.- Strong experience with Databricks, DBT, Unity Catalog, SQL, and Python.- Deep understanding of dimensional modelling, semantic modelling, Medallion Architecture, and data product design.- Experience designing semantic layers using Databricks Metric Views and enabling analytics or conversational AI with Databricks Genie is highly desirable.- Strong stakeholder management, technical leadership, and the ability to guide delivery teams in adopting enterprise architecture https://jobeax.com/link/32b37onxsYOqqhPY Measures : - Adoption of enterprise standards across HUB & SPOKE teams.- Increased self-service delivery and reduced implementation effort.- High-quality, reusable and governed enterprise data & Genie solutions. (ref:hirist.tech)
... entire software development life cycle, including requirements gathering, design, coding, testing, defect fixing, deployment and documentation.- Supporting, maintaining and improving the working of existing Salesforce applications for optimal functionality.- Creating and maintaining integrations with other applications ...
... Ansible, or AWS CloudFormation. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud, and proficiency in managing cloud resources. Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes. Certifications such as AWS Certified Solutions Architect, AWS Certified ...
... requirements.- Conduct impact analysis and recommend effective solutions.- Participate in project status meetings and client discussions.- Ensure timely issue resolution and project https://jobeax.com/link/4hQDI5yuHUXaGoou & Knowledge Transfer :- Create and maintain :1. User Guides2. Process Documents3. Training Materials4. ...
... and business stakeholders to understand complex business problems, architect scalable Oracle Cloud solutions, and integrate AI agents with Oracle Fusion, ERP Cloud, EBS, and other enterprise https://jobeax.com/link/wXURIxgrAfa888Pf Responsibilities :- Architect, design, and implement enterprise solutions leveraging Oracle ...
... role) Requires strong hands-E xperience in AI and Data Engineering with strong expertise in Azure OpenAI, Azure AI Foundry, Agentic AI, RAG, LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data ...
... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...
... software solutions. Kitopi’s kitchens are powered by its proprietary Smart Kitchen Operating System (SKOS), an in-house suite of applications that optimizes cloud kitchen operations in real-time. As part of its growth roadmap, technological innovation, data science, artificial intelligence, and robotics will take center ...
... PySpark, MLflow). - Proficiency in SQL and programming languages like Python or Scala. - Experience with Azure cloud data services. - Solid understanding of data modeling, data governance, security. Why join us? Work with a passionate and innovative team in a fast-paced, growth-oriented environment. Gain hands-on experience ...
... schema, and modern data warehouse architectures. Experience implementing cloud-native lakehouse architectures and modern data mesh concepts. Relevant cloud, data engineering, or big data certifications. Exposure to Generative AI, AI/ML data platforms, and modern analytics ecosystems. Gender-Neutral Policy - 18 paid holidays ...
... production-safe. The incumbent will architect and implement the MLOps and LLMOps platform on Databricks, leveraging Agentbricks (Databricks Agent Framework), Databricks Apps, MLflow, Feature Store, Model Serving, and Mosaic AI — embedding rigorous CI/CD, drift monitoring, cost governance, and responsible-AI guardrails across ...
... for a data professional to join our Data Engineering team. Independently execute data engineering projects Undertake processing of structured and unstructured data Development of data processing codes for automation & building scalable solutions Develop and maintain data solutions for clients / projects Communicate and interact ...
... countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. The Enterprise Data Solutions team is looking for a Big Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories ...
... with Docker/Kubernetes is a plus. Key Responsibilities Design, develop, and maintain scalable data pipelines and data lake solutions on GCP. Build and automate data ingestion and transformation workflows using Airflow and BigQuery. Ensure data quality, performance, and security across all cloud environments. Collaborate with ...
... https://jobeax.com/link/fYGlpInxuIv5PeS1 & Skills :- 4 - 7 years in data engineering: SQL, Python, ETL/ELT orchestration.- Cloud data platform experience (Azure preferred): pipelines, storage, APIs.- Strong understanding of data lake and data architecture.- Data modelling for analytics (star schema) and data quality frameworks. (ref:hirist.tech)
... AWS Certified Solutions Architect are highly desirable. - Hands-on experience with data modelling tools such as Erwin , with the ability to design and develop data models, data warehouses, data assets, and data products. - Practical experience with AI tools, technologies, and automation solutions , with demonstrated success ...
... Python, SQL , Shell scripting, PySpark, SQL Expertise in writing complex queries, performance tuning, query optimization. Work with business users in guiding and obtaining Non-functional requirement as well as obtaining the relevant sign off for the performance test deliverables. Develop our technical strategy and architecture ...
... Demonstrated expertise with Azure cloud services for end-toend data solutions. This includes Azure Machine Learning (for model development and deployment), Azure Data Factory (ETL/ELT pipelines), Azure Databricks (data processing), and related services. Ability to architect scalable data pipelines and CI/CD processes in Azure ...