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Job Description Position:
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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Skills Required
- 11-16 years of AWS experience
- Experience with big data architectures (cloud and on-premises)
- Proficiency with data ingestion/streaming: Kinesis, Kafka, Database Migration Service
- Proficiency with storage: S3, EBS, EFS
- Proficiency with compute: EC2, Lambda, ECS, EKS
- Proven experience in Java, Scala, Python and shell scripting
- Working experience with AWS Glue (PySpark), Athena, EMR, Apache Spark
- Experience with DynamoDB, Redshift, RDS
- Experience with Databricks on AWS and Snowflake on AWS
- Good knowledge of SQL
- AWS Certification: AWS Certified Solutions Architect and/or AWS Certified Data Analytics
- Experience migrating workloads from on-premises to cloud
- Experience building and delivering proofs-of-concept to address business needs
- Experience partnering with executive stakeholders and mentoring engineers
- Working experience with Agile methodology and Kanban
- Experience monitoring distributed infrastructure using CloudWatch, Prometheus, or ELK (advantage)
Fractal Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.
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Healthcare Strength — Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
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Leave & Time Off Breadth — Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
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Flexible Benefits — Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.
Fractal Insights
What We Do
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.
