- 经验
- 15年以上
- 薪水
- INR 3,000,000 – INR 4,000,000 / year
- 职位空缺
- 1
- 发布
- 3周前
- 工作模式
- 在办公室
- 学历
- B.Tech / B.E. in Any Specialization
- 合格
- <ul><li>Candidates with a B.Tech / B.E. in Any Specialization are eligible to apply.</li></ul>
- 恢复
- 需要申请
你的工作地点
职位描述
L&T Technology Services (LTTS) is a global Engineering Research & Development (ER&D) services company and a subsidiary of Larsen & Toubro. The company specializes in engineering, digital transformation, product development, embedded systems, industrial automation, AI, and Industry 4.0 solutions.
We are looking for a seasoned Data Architect / Solution Architect to spearhead the design and deployment of enterprise-level data and digital solutions. This role is crucial for supporting industrial operations and driving business transformation initiatives. The primary focus will be on architecting robust data platforms, formulating comprehensive enterprise data strategies, facilitating AI/ML applications, and constructing integrated digital solutions utilizing technologies such as Cognite Data Fusion (CDF), Microsoft Azure, AWS, Industrial IoT platforms, and contemporary cloud-native architectures.
The selected individual will collaborate closely with business stakeholders, product owners, data engineers, data scientists, and enterprise architects to translate intricate business challenges into scalable, secure, and value-driven digital products.
Key Responsibilities- Define and oversee enterprise-wide data architecture for industrial and digital transformation programs.
- Architect the layers for data ingestion, integration, storage, processing, and consumption.
- Design adaptable data platforms capable of handling structured, semi-structured, and unstructured data.
- Establish comprehensive standards for Data Governance, Metadata Management, Data Lineage, Data Quality, Master Data Management, and Data Security & Compliance.
- Design architectures for both real-time and batch data processing.
- Create scalable data foundations to support advanced analytics, AI, ML, and Digital Twin initiatives.
- Develop enterprise data models and canonical information architectures.
- Facilitate seamless interoperability between enterprise applications, operational systems, and external partners.
Industry: Energy, Oil & Gas, Industrial Digitalization, Data Platforms