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)
... foundational architecture of our product's data. We've built a strong data engineering team to date, but have a lot of work ahead of us, Migrating from relational databases to a streaming and big data architecture, including a complete overhaul of our data feeds - Defining streaming event data feeds required for real-time analytics ...
... set engineering standards for CI/CD and Infrastructure as Code, strengthen observability and incident response, and partner with development, security, and architecture teams to improve reliability, performance, and cost efficiency across Azure and Google Cloud. Architect, build, and operate cloud platforms in Azure and ...
... improving system reliability, and working with modern cloud technologies. Key Responsibilities Design, deploy, and manage scalable infrastructure on AWS . Manage and maintain production Kubernetes/EKS clusters . Build and maintain reusable Terraform modules and infrastructure automation. Develop and improve CI/CD pipelines for ...
... security, and performance optimization.- Deploy and manage containerized applications on Cloud Run, including revisions, traffic splitting, autoscaling, and custom domain configurations.- Build and maintain CI/CD pipelines using Google Cloud Build, GitHub Actions, GitLab CI/CD, Jenkins, or similar tools.- Automate cloud infrastructure ...
... Responsibilities :- Provide technical leadership and architectural direction for enterprise DevOps, cloud, automation, and platform engineering initiatives.- Architect and govern enterprise platforms including Azure, AWS, GitHub, Jenkins, Artifactory, SonarQube, Splunk/Datadog, VMware vCenter/vSphere, and VMware vRealize ...
... Terraform, Infrastructure as Code (IaC), cloud automation, security, networking, and high https://jobeax.com/link/YXDLnTrRuXQ1VWhS Responsibilities : - Design and architect enterprise-scale Azure cloud solutions aligned with business and technical requirements.- Design and implement Azure infrastructure using Terraform and Infrastructure ...
... capture recovery evidence, and help ensure releases and recovery procedures meet agreed SLA, RPO and RTO targets. Partner across the business — work closely with cloud architects, product engineers, application teams and customer stakeholders to turn architecture and resilience requirements into automated, reliable deployment ...
... Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence ...
... 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. ...
Key Responsibilities: Recruitment & Sourcing: - Source and mobilize blue-collar and white-collar candidates (technicians, operators, supervisors, engineers, etc.) for client requirements. - Build and maintain a strong network of agents, sub-agents, training institutes, and technical colleges across India. - Use job portals ...
... products and services. As a Senior Data Engineer, you will take responsibility for technical design, implement complex features and provide mentorship in the Data Engineering discipline of Infrastructure Engineering & Cloud Operations (IECO). You build data intensive solutions that are highly available, scalable, reliable, ...
... management SnapLogic — building and maintaining integration pipelines and connecting heterogeneous source systems dbt — writing modular, tested transformations; Data Modelling — dimensional modelling, medallion/layered architectures, normalisation vs. Strong SQL and at least one scripting language (Python preferred) AI-AUGMENTED ...
... leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering ...