Lead Architect AWS

About the role

Lead Architect AWS at Fractal Analytics responsible for designing, building, and operationalizing large-scale enterprise data solutions on AWS. Lead the AWS practice, consulting clients on data platform modernization, re-architecting on-premises stores, and building production pipelines using Java, Python, Scala. Drive data modeling, ingestion, and curation on services like Redshift, DynamoDB, S3, Glue, Athena. Mentor engineers, participate in design workshops, and provide trade‑off recommendations. Requires 11‑16 years of AWS experience, proficiency in AWS services, big‑data tools, and programming languages, plus AWS certifications.

What you’ll do

• Consult, design, build and operationalize large scale enterprise data solutions using AWS data and analytics services and third‑party tools such as 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 third‑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 detailed 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.

What you’ll bring

• 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, Glue Pyspark, EMR, DynamoDB, Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, Snowflake on AWS
• AWS Certification: AWS Certified Solutions Architect and/or AWS Certified Data Analytics
• Working experience with Agile Methodology and Kanban
• Good knowledge of SQL

Skills