Data Architect

Roles & Responsibilities :

Key Responsibilities:

Enterprise Data Architecture & Modeling:

Contribute to the design and evolution of enterprise-wide data models (conceptual, logical, physical) for data warehousing, data lakes, streaming, and operational stores.

Help define and enforce enterprise data architecture standards and best practices.

Evaluate, recommend, and implement new data technologies and platforms.

AI/Generative AI Integration:

Explore, prototype, and implement strategic applications of AI and GenAI (LLMs, RAG, vector databases) for data analysis, automation, and intelligent decision-making.

Evaluate and integrate AI tools and platforms to embed AI capabilities into our data products.

Cloud & DevOps for Data:

Design and deploy scalable, cost-effective data solutions on cloud platforms (AWS, Azure), adhering to DevOps principles (CI/CD, infrastructure as code).

Ensure data security, access control, and compliance across cloud-native data environments.

Advanced Data Engineering & Pipelines:

Design and implement scalable, resilient, and performant data pipelines for high-volume data ingestion, transformation, and delivery.

Develop robust ETL/ELT processes leveraging modern cloud-native services and microservices principles.

Contribute to metadata management, data lineage, and data quality frameworks.

Enterprise Data Archiving & Application Retirement:

diverse enterprise applications

Design and implement efficient data transfer strategies and ETL using advanced tools (including JiVS, with provided training) for archiving.

Ensure archived data is transformed and accessible for statutory, audit, and historical reporting, optimizing for future analytics.

Contribute to implementing and managing robust data retention policies and data lifecycle management within the archiving platform.

Data Governance & Technical Contribution:

Actively contribute to defining and implementing enterprise data governance policies, master data management (MDM), and data security frameworks.

Provide technical expertise, architectural guidance, and mentorship within cross-functional teams.

Qualifications

Educational qualification:

BTech/Mtech/MCA or Equivalent

Experience :

• Experience:

• Architectural & Design Skills:

• Data Engineering Fundamentals:

• Programming & Scripting:

• Database & Data Stores:

• Cloud & DevOps:

• Enterprise Application Integration:

• AI/Generative AI:

• Analytical & Problem-Solving:

• Communication & Collaboration:

Mandatory/requires Skills :

Preferred Skills :