AWS Solution Architect

As an AWS Managed Services Architect, you will play a pivotal role in
architecting and optimizing the infrastructure and operations of a complex
Data Lake environment for BOT clients. You’ll leverage your strong expertise
with AWS services to design, implement, and maintain scalable and secure
data solutions while driving best practices.

You will work collaboratively with delivery teams across the U.S., Costa
Rica, Portugal, and other regions, ensuring a robust and seamless Data Lake
architecture. In addition, you’ll proactively engage with clients to support
their evolving needs, oversee critical AWS infrastructure, and guide teams
toward innovative and efficient solutions.

This role demands a hands -on approach, including designing solutions,
troubleshooting, optimizing performance, and maintaining operational
excellence.

Roles & Responsibilities:

• AWS Data Lake Architecture: Design, build, and support scalable,
  high -performance architectures for complex AWS Data Lake solutions.
  
• AWS Services Expertise: Deploy and manage cloud -native solutions
  using a wide range of AWS services, including but not limited to.
  
• Amazon EMR (Elastic MapReduce): Optimize and maintain EMR clusters for
  large -scale big data processing.
  
• AWS Batch: Design and implement efficient workflows for batch processing
  workloads.
  

  Amazon SageMaker: Enable data science teams with scalable infrastructure
  for model training and deployment.
  

  AWS Glue: Develop ETL/ELT pipelines using Glue to ensure efficient data
  ingestion and transformation.
  

  AWS Lambda: Build serverless functions to automate processes and handle
  event -driven workloads.
  

  AM Policies: Define and enforce fine -grained access controls to secure
  cloud resources and maintain governance.
  

  AWS IoT & Timestream: Design scalable solutions for collecting,
  storing, and analyzing time -series data.
  

  Amazon DynamoDB: Build and optimize high -performance NoSQL database
  solutions.
  
• Data Governance & Security: Implement best practices to
  ensure data privacy, compliance, and governance across the data
  architecture.
  
• Performance Optimization: Monitor, analyze, and tune AWS
  resources for performance efficiency and cost optimization.
  

  Develop and manage Infrastructure as Code (IaC) using AWS
  CloudFormation, Terraform, or equivalent tools to automate
  infrastructure deployment.
  
• Client Collaboration: Work closely with stakeholders to
  understand business objectives and ensure solutions align with client
  needs.
  
• Team Leadership & Mentorship: Provide technical guidance to
  delivery teams through design reviews, troubleshooting, and strategic
  planning.
  
• Continuous Innovation: Stay current with AWS service updates,
  industry trends, and emerging technologies to enhance solution delivery.
  
• Documentation & Knowledge Sharing: Create and maintain
  architecture diagrams, SOPs, and internal/external documentation to
  support ongoing operations and collaboration.
  

Qualifications & Skills

• 7+ years of hands -on experience in cloud architecture and infrastructure (preferably AWS).
  
• 3+ years of experience specifically in architecting and managing Data Lake or big data solutions on AWS.
  
• Bachelor’s Degree in Computer Science, Information Systems, or a related field (preferred).
  
• AWS Certifications such as Solutions Architect Professional or Big Data Specialty.
  
• Experience with Snowflake, Matillion, or Fivetran in hybrid cloud environments.
  
• Familiarity with Azure or GCP cloud platforms.
  
• Understanding of machine learning pipelines and workflows.
  
• Technical Skills: Expertise in AWS services such as EMR, Batch, SageMaker, Glue, Lambda, IAM, IoT TimeStream, DynamoDB, and more. Strong programming skills in Python for scripting and automation. Proficiency in SQL and performance tuning for data pipelines and queries. Experience with IaC tools like Terraform or CloudFormation. Knowledge of big data frameworks such as Apache Spark, Hadoop, or similar.
  
• Data Governance & Security: Proven ability to design and implement secure solutions, with strong knowledge of IAM policies and compliance standards.
  
• Problem -Solving: Analytical and problem -solving mindset to resolve complex technical challenges.
  
• Collaboration: Exceptional communication skills to engage with technical and non -technical stakeholders. Ability to lead cross -functional teams and provide mentorship.