Azure and databricks AI Architect

Infosys

17h

About The Position

The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.

Requirements

Design and develop end-to-end data engineering solutions using Azure and Microsoft Fabric.
Build scalable batch and real-time data pipelines using Azure Databricks, PySpark, and Spark SQL.
Develop and maintain Fabric Lakehouse, OneLake, Data Warehouse, and Data Factory solutions.
Implement Bronze, Silver, and Gold layer architecture using Medallion design principles.
Integrate structured and unstructured data from various enterprise sources.
Leverage Azure AI and OpenAI services to build AI-powered use cases, copilots, and intelligent analytics solutions.
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

Nice To Haves

Experience with Snowflake, Power BI, or dbt.
Knowledge of MLOps and GenAI frameworks.
Experience with streaming technologies such as Kafka and Event Hubs.
Understanding of data governance, data quality, and security frameworks.
Familiarity with cloud-native architecture and Enterprise Data Platforms.

Responsibilities

Participate in customer discussions to gather and analyze system requirements for performance, security and scalability.
Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation
Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options
Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions
Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy
Collaborate with development teams to resolve complex technical issues using solution deployment and roll out methods, during build, deployment and support phases
Analyze system performance basis architectural solutions implemented and support in identifying potential risks in the system landscape
Create artifacts of architectural frameworks and technical solutions, thereby enriching team's knowledge repository
The ability to analyse, design, and develop scalable and secure architectures.
A knack for assessing multiple technologies, tools and frameworks to recommend optimal solutions.
Understanding of integration methodologies, proof-of-concept validation and deployment strategies.
The ability to document architectural frameworks and solutions.
Proactive communication with internal teams and clients, ensuring alignment with business objectives.
A knack to keep with up technical advancements to ensure relevant and effective recommendations.
The ability to maintain standards and ensure smooth transition through knowledge transfer