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 creative and effective 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 effective 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 d