Lead Architect AWS

Fractal Analytics Ltd.; Bengaluru; On-site; INR 4,200,000 - 6,400,000; Full time

Job summary

Fractal Analytics Ltd. in Bengaluru seeks an experienced AWS Lead Architect to design, implement, and operationalize large-scale data solutions on AWS. You will re-architect on-premises stores to cloud, design data pipelines using Java, Python, and Scala, and mentor engineers in best practices.

Applicants should have 11–16 years of AWS experience, strong data architecture background, and AWS certifications. Familiarity with Agile/Kanban and SQL is required for success in this role.

Qualifications

• 11–16 years of AWS experience.
• Big Data architectures, on cloud and on prem.
• AWS Certification: Solutions Architect and/or Data Analytics.
• Experience with Agile methodologies (Kanban).
• Proficient with SQL.

Responsibilities

• Consult, design, build and operate large-scale enterprise data solutions on AWS.
• Analyze and re-architect on-premises data stores to AWS.
• Design and build production data pipelines using Java, Python, Scala.
• Mentor engineers in coding best practices and problem solving.
• Lead client design workshops and provide trade-offs.

Skills

AWS leadership

Big Data architectures

SQL proficiency

Agile & Kanban

Stakeholder comms

POC execution

Tools

Apache Spark

Databricks

Snowflake

Kinesis

Kafka

EMR

Glue

Athena

Pyspark

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.

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.

At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey.