Big Data Architect
- Role
- Data Engineering
- Employment
- Full-time
Open to IN only. Set where you work from to check your eligibility.
No BS summary
Big Data Architect in India with experience designing data-intensive products, Data Mesh, real-time streaming architectures, Kubernetes-hosted applications, and CI/CD data pipelines. Needs cloud/data stack exposure across AWS, Azure, Spark, Kafka, Databricks, Synapse, Power BI, and SQL data warehousing.
Core skills
Required skills
Requirements ● Experience designing data solutions following Agile practices and SAFe methodology. ● Experience designing for testability, deployability and releaseability. ● Experience with rapid prototyping, data modelling and decentralised innovation. ● Experience working on data products and data-intensive applications. ● Experience working with Data Mesh architecture. ● Experience designing real-time streaming architectures. ● Experience hosting and managing applications through Kubernetes. ● DataOps mindset, allowing system architecture to evolve continuously while supporting the needs of current users. ● Ability to create and maintain the Architectural Runway and Non-Functional Requirements. ● Experience designing Continuous Delivery Pipelines and CI/CD data pipelines. ● Ability to enable built-in quality and security from the beginning. ● Understanding and use of at least one recognised architecture framework or standard, such as TOGAF or Zachman Architecture Framework. ● Ability to apply data, research, professional judgement and experience to ensure products make the biggest difference to consumers. ● Excellent written, verbal and social skills. ● Ability to interact with user-experience designers, developers, managers, marketers and other stakeholders. ● Ability to work independently in a fast-paced, multi-project environment with minimal supervision. Requirements Technologies ● AWS ● Azure ● Azure Synapse ● NiFi ● RDS ● Apache Spark ● Apache Kafka ● Azure Databricks ● Azure Data Lake Storage ● Power BI ● Reporting Analytics ● SQL On-Premises Data Warehouse ● BSS ● OSS ● Enterprise Support Systems
What they require
- Experience designing data solutions following Agile practices and SAFe methodology.
- Experience designing for testability, deployability and releaseability.
- Experience with rapid prototyping, data modelling and decentralised innovation.
- Experience working on data products and data-intensive applications.
- Experience working with Data Mesh architecture.
- Experience designing real-time streaming architectures.
- Experience hosting and managing applications through Kubernetes.
- DataOps mindset, allowing system architecture to evolve continuously while supporting the needs of current users.
- Ability to create and maintain the Architectural Runway and Non-Functional Requirements.
- Experience designing Continuous Delivery Pipelines and CI/CD data pipelines.
- Ability to enable built-in quality and security from the beginning.
- Understanding and use of at least one recognised architecture framework or standard, such as TOGAF or Zachman Architecture Framework.
- Ability to apply data, research, professional judgement and experience to ensure products make the biggest difference to consumers.
- Excellent written, verbal and social skills.
- Ability to interact with user-experience designers, developers, managers, marketers and other stakeholders.
- Ability to work independently in a fast-paced, multi-project environment with minimal supervision.
- AWS
- Azure
- Azure Synapse
- NiFi
- RDS
- Apache Spark
- Apache Kafka
- Azure Databricks
- Azure Data Lake Storage
- Power BI
- Reporting Analytics
- SQL On-Premises Data Warehouse
- BSS
- OSS
- Enterprise Support Systems