Lead Architect AWS

Skip to main contentBeware of Fraudulent RecruitersIt has come to our notice that Fractal Analytics’ name and logo are being misused by certain unscrupulous persons masquerading as Fractal’s authorized representatives to approach job seekers to part with sensitive personal information and/or money in exchange of promise of lucrative job offers in Fractal. Please exercise caution and verify that the person approaching you is a genuine representative of Fractal Analytics, or an authorized consultant, before you provide any personal details or other non-public information. If in doubt, please write to hiring@fractal.ai to seek clarification or report any abuse.This website stores cookies on your computer. These cookies are used to collect information about how you interact with our website. We use this information in order to improve and customize your browsing experience and for analytics about our visitors both on this website. To find out more, see our Privacy Policy here . Read Full Privacy MessageDeclineAccept CookiesSign InLead Architect AWS page is loadedLead Architect AWSApplylocationsBengaluruPuneMumbaiChennaiGurgaontime typeFull timeposted onPosted 30+ Days Agotime left to applyEnd Date: December 31, 2026 (30+ days left to apply)job requisition idSR-27673It'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.Job Description Position:AWS Lead ArchitectAWS 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 solvingRequirements:• 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.If you like wild growth and working with happy, enthusiastic over-achievers, you'll...