Data & AWS Architect at Weekday AI

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

5500000.0

Posted On

04 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Architecture, Cloud Data Engineering, Spark, Scala, AWS Glue, AWS Redshift, AWS EMR, ETL/ELT Design, Data Modelling, Infrastructure as Code, AWS CloudFormation, Real-time Processing, Cloud Security, Data Governance, DynamoDB, Kinesis

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Salary range: Rs 4000000 - Rs 5500000 (ie INR 40-55 LPA) Experience: 10+ yrs Location: Bengaluru Job Type: full-time We are seeking an experienced AWS Data Architect with deep expertise in cloud data engineering, scalable data architecture, and AWS-native technologies. This role is ideal for professionals with extensive experience designing enterprise-grade data platforms and building high-performance data pipelines that support analytics, reporting, and business-critical applications. As an AWS Data Architect, you will be responsible for designing, implementing, and optimizing cloud-based data solutions using a wide range of AWS services. You will collaborate with business stakeholders, architects, developers, and data engineering teams to translate complex business requirements into secure, scalable, and reliable data architectures. This role requires strong expertise in data modelling, ETL development, real-time and batch processing, cloud security, and infrastructure automation while ensuring performance, governance, and cost optimization across AWS environments. Key Responsibilities Design and implement scalable, secure, and high-performance data architectures on AWS to support enterprise data initiatives. Develop and maintain robust data pipelines using Spark (Scala), AWS Glue, Oozie, and other cloud-native technologies for batch and real-time processing. Build and optimize ETL/ELT workflows that efficiently ingest, transform, and process large volumes of structured and unstructured data. Configure, manage, and optimize AWS services including EMR, Redshift, DynamoDB, Kinesis, Athena, OpenSearch, CloudWatch, Macie, CloudFormation, API Gateway, SNS, SQS, and DMS. Design cloud data models that support analytics, reporting, operational workloads, and business intelligence requirements. Collaborate with cross-functional teams to gather business requirements and deliver scalable technical solutions aligned with organizational objectives. Monitor system performance, identify bottlenecks, and implement optimization strategies to improve scalability, reliability, and cost efficiency. Implement best practices for cloud security, data governance, compliance, and privacy using AWS-native security and monitoring services. Develop Infrastructure as Code (IaC) solutions using AWS CloudFormation to automate cloud resource provisioning and deployment. Troubleshoot complex issues related to data ingestion, processing, storage, and integration across AWS environments. Support cloud migration initiatives and integrate enterprise data sources with modern AWS data platforms. Maintain technical documentation, architecture diagrams, and operational procedures while ensuring adherence to cloud engineering best practices. What Makes You a Great Fit Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. 10+ years of experience in data architecture, cloud data engineering, and enterprise-scale AWS solutions. Strong expertise in AWS Architecture and designing scalable cloud-native data platforms. Hands-on experience with AWS services including EMR, Redshift, DynamoDB, Kinesis, Athena, OpenSearch, CloudWatch, Macie, CloudFormation, API Gateway, SNS, SQS, DMS, and AWS Glue. Advanced proficiency in Spark with Scala for large-scale distributed data processing. Strong knowledge of data modelling, ETL/ELT design, workflow orchestration, and cloud data architecture principles. Experience building real-time and batch data processing solutions with a focus on performance and reliability. Expertise in implementing cloud security, monitoring, governance, and compliance best practices. Familiarity with containerization technologies such as Docker and Kubernetes, along with machine learning pipelines and advanced AWS analytics services, is an added advantage. AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect certification is preferred. Excellent analytical, problem-solving, stakeholder management, and communication skills with the ability to collaborate effectively across cross-functional teams.

Responsibilities

Design and implement scalable, secure, and high-performance cloud data architectures and pipelines on AWS. Collaborate with stakeholders to translate business requirements into technical solutions while optimizing for cost and performance.