Azure Databricks Cloud Data Architect

Job Description

Infosys is seeking an Azure Databricks Cloud Data Architect. In this role, you will provide inputs for planning activities to meet non-functional requirements in project - performance engineering track. Participate in customer discussions during requirement analysis with a knowledge of requirements elicitation and analysis tools and techniques like story boarding, use case analysis, agile user stories, to understand system requirements and non-functional requirements. You will collaborate with some of the best talent in the industry to create and implement innovative high-quality solutions. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications:

• Candidate must be located within commuting distance of Raleigh, NC or be willing to relocate to this location.
• 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.
• US citizens and those authorized to work in the US are encouraged to apply.
• At least 7 years of Information Technology experience
• Hands on experience in architecting Cloud data solutions using Azure Synapse, Databricks, Python, PySpark, SQL
• Significant experience with Cloud Data lake technologies and complex data architecture and models. Experience building and managing cloud data platforms.
• Strong experience in building data ingestion, data catalog and data analytics framework.
• End to end Cloud Data Lake architecture design & implementation including data ingestion, data modeling and data distribution.
• Build data integrations between on-prem/cloud-based systems.
• Good experience in end-to-end implementation of data warehouse and data marts
• Experience and detailed knowledge with ETL, Data Quality, metadata management, Data Engineering, streaming data loads
• Experience designing and implementing complex solutions for distributed systems
• Experience in leading and mentoring teams in onshore-offshore model.

Preferred Qualifications:

• Good understanding of data warehousing concepts, data integration, data quality and data architecture
• Good to have experience in Snowflake
• Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data
• Strong knowledge and hands-on experience in SQL, Unix shell scripting
• Good understanding of Agile software development frameworks
• Strong communication and Analytical skills
• Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams and be able to manage the stake holders
• Experience and desire to work in a global delivery environment

The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 50 countries to navigate their digital transformation. With over three decades of experience in leading the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver outstanding levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

To learn more about Infosys and see our perspectives in action please visit us at www.Infosys.com