Lead Architect AWS

Fractal; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

A leading technology company in Bengaluru is seeking an experienced AWS Lead Architect to design and operationalize large scale enterprise data solutions. The role requires 11-16 years of experience in AWS, proficiency in various AWS services, and the ability to mentor engineers. The ideal candidate will have a strong background in Big Data Architectures, cloud solutions, and Agile methodologies. Competitive offers and growth opportunities await in this vibrant environment.

Qualifications

• 11 - 16 years of experience in AWS.
• Proficiency in AWS Collection Services: Kinesis, Kafka, Database Migration Service.
• Proficient in AWS S3, EBS, EFS.

Responsibilities

• Design, build, and operationalize large scale enterprise data solutions.
• Re-architect on-premises data stores to modern data platforms on AWS.
• Mentor other engineers in coding best practices and problem solving.

Skills

AWS Expertise

Big Data Architectures

Java

Scala

Python

SQL

Agile Methodology

Education

AWS Certified Solutions Architect

AWS Certified Data Analytics

Tools

AWS CloudWatch

Prometheus

ELK Stack

Apache Spark

Databricks

Job description

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.

AWS Lead Architect

AWS Practice Responsibilities

• Consult, Design, build and operationalize large scale enterprise data solutions using one or more of AWS data and analytics services in combination with 3rd parties - Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue, Snowflake and Databricks.
• Analyse, re-architect and re-platform on-premises data stores/ Databases to modern data platforms on AWS cloud using AWS or 3rd party services.
• Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.
• Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, DynamoDB, RDS, S3
• Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming.
• Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud as part of customer consultation and business proposals.
• Participate in client design workshops and provide trade-offs and recommendations towards building solutions.
• Mentor other engineers in coding best practices and problem solving

Requirements

• 11 - 16 years of experience in AWS
• Experience and knowledge of Big Data Architectures, on cloud and on premise
• Proficiency in AWS Collection Services: Kinesis, Kafka, Database Migration Service
• Proficiency in AWS main Storage Service: S3, EBS, EFS
• Proficiency in AWS main Compute Service: EC2, Lambda, ECS, EKS
• Proven experience in: Java, Scala, Python, and shell scripting.
• Working experience with: AWS Athena and Glue Pyspark, EMR, DynamoDB, Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, Snowflake on AWS
• Proficient in AWS Redshift, S3, Glue, Athena, DynamoDB
• AWS Certification: AWS Certified Solutions Architect and/or AWS Certified Data Analytics
• Working experience with Agile Methodology and Kanban
• Good knowledge of SQL .
• Experience in building and delivering proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
• Experience partnering with executive stakeholders as a trusted advisor as well as enabling technical implementers
• Working experience in migrating workloads from on premise to cloud environment
• Experience in monitoring distributed infrastructure, using AWS tools or open-source ones such as CloudWatch, Prometheus, and the ELK stack would be big advantage.

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