Solution Architect

9 Months ago • 12 Years +

Devops

Job Description

This project requires a highly experienced Solution Architect (12+ years) to design and implement scalable, cloud-based solutions on AWS. Responsibilities include designing microservices architectures, data engineering pipelines (using AWS EMR, Kafka, Spark, Python, MongoDB, DynamoDB), and optimizing cloud infrastructure. The role involves collaborating with various teams, presenting architecture plans, and ensuring solutions meet business objectives. Experience with data engineering, designing microservices, and excellent communication skills are crucial.

Good To Have:

Agile methodology familiarity

Must Have:

12+ years Solution Architect experience
AWS, Kafka, EMR, Spark, Python expertise
MongoDB, DynamoDB experience
Microservices architecture design
Data engineering skills
Excellent communication

Add these skills to join the top 1% applicants for this job

mongodb

spark

microservices

aws

python

data-analytics

communication

scalability

Project description

This project involves a highly experienced Solution Architect with over 12 years of expertise in architecting and delivering scalable, cloud-based solutions. The role centers around designing robust, data-driven systems and microservices architectures, utilizing advanced technologies and platforms to meet the organization's evolving needs.

Responsibilities

Solution Architecture Design:

Lead the design and implementation of scalable and high-performing solutions, leveraging cloud platforms such as AWS.

Architect and manage microservices architectures that ensure seamless integration, flexibility, and scalability across systems.

Develop end-to-end solutions that address complex business challenges, focusing on availability, reliability, and security.

Data Engineering & Integration:

Design and optimize data engineering pipelines using tools like AWS EMR, Kafka, Spark, and Python, ensuring the efficient processing and transformation of large-scale datasets.

Architect data storage solutions using both MongoDB and DynamoDB, ensuring high availability, performance, and scalability for unstructured and structured data.

Implement real-time and batch data processing architectures to meet the evolving data analytics and reporting needs of the business.

Cloud Infrastructure & Services:

Utilize AWS services to design and manage highly scalable, fault-tolerant cloud infrastructure.

Develop event-driven architectures leveraging Kafka for real-time data streaming, ensuring quick and accurate data delivery across systems.

Optimize and secure cloud solutions to meet business and operational requirements while adhering to cost and performance goals.

Collaboration & Communication:

Engage with business stakeholders and technical teams to gather requirements, propose solution designs, and ensure alignment with business objectives.

Collaborate with development, operations, and data engineering teams to implement solutions that meet both technical and business goals.

Leverage strong communication skills to effectively present architecture plans, technical roadmaps, and project updates to both technical and non-technical stakeholders.