Valiance Solutions - AWS Data Architect - SQL/Python (12-20 yrs)

About Us :

Valiance is a global AI & Data analytics firm helping clients build cutting-edge technology solutions for digital transformation. We work with some of the marquee brands across India, US and APAC to build transformative solutions for Credit Risk, Fraud, Predictive Maintenance, Quality Inspection, Data lake, IOT analytics etc. Our team comprises 120+ professionals across Machine Learning, Data Engineering & Cloud expertise.

We are seeking a highly skilled and experienced AWS Data Architect to join our team. The ideal candidate will have 12-15 years of experience in data architecture, with a focus on AWS cloud services. The AWS Data Architect will be responsible for designing, implementing, and managing data solutions on the AWS platform to meet the organization's business needs.

Responsibilities :

- Design and implement data solutions on the AWS platform using services such as Amazon Redshift, Amazon RDS, Amazon Aurora, Amazon EMR, and Amazon S3

- Develop data models, data architecture, and data integration solutions

- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions

- Optimize data storage, processing, and retrieval for performance and cost efficiency

- Implement data security and compliance best practices

- Lead and mentor junior team members

- Stay current with industry trends and best practices in AWS data architecture

Qualifications :

- Bachelor's degree in Computer Science, Engineering, or related field

- 12 - 15 years of experience in data architecture, with a focus on AWS cloud services

- AWS Certified Solutions Architect - Professional certification preferred

- Proficiency in SQL, Python, and other relevant programming languages

- Strong understanding of data warehousing, data lakes, and big data technologies

- Experience with data migration, data governance, and data quality

- Excellent communication and collaboration skills

- Ability to work effectively in a fast-paced environment and manage multiple priorities