Senior AWS Implementation Architect

Connvertex Technologies Inc.

Chicago, IL, United States

19 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Compensation

$80,000.0 - $120,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Microsoft Windows Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Data Analysis Unix Software as a Service Cyber Security Computer Engineering Continuous Integration Data Architecture Information Engineering

+36 more

Data Governance Data Migration Data Warehousing Linux Github Identity and Access Management Python (Programming Language) PostgreSQL Linux Servers MongoDB Platform as a Service (PAAS) Windows PowerShell Redis SQL Databases Scripting Delivery Pipeline Snowflake State Machines Electronic Medical Records Amazon Virtual Private Cloud (VPC) Cloudformation Build Management Amazon Relational Database Service AWS Aurora Kubernetes Deployment Automation AWS Fargate Apache Kafka Data Management Machine Learning Operations Functional Programming Data Delivery Terraform Data Pipelines Docker Jenkins

Job description

Kafka at enterprise streaming scale
Kubernetes, Docker, or AWS Fargate
Mixed Windows/Linux server environments
Networking/security group/policy management across UNIX, Linux, Windows

What you’d actually do:

Design and build enterprise data solutions aligned to Hyatt’s target-state architecture
Implement data migration, data delivery, and ML pipelines
Set up and manage IAM roles/policies
Build resilient, secure, performant data platforms and applications
Work day-to-day with app dev and data engineering teams on implementation (not just strategy)
Automate deployments of AWS services and BI applications

How this differs from the earlier Data Architect role: that one was strategy/governance-heavy (standards, principles, data quality frameworks, stakeholder alignment). This one is far more hands-on AWS implementation - provisioning services, automating deployments, securing infrastructure.

Requirements

6+ years in application/platform engineering, BI, or analytics
4+ years senior AWS cloud data engineering - architecting, managing, implementing best practices
Data warehousing: Snowflake, Redshift, or similar
Deep AWS service knowledge: S3, EC2, RDS, Lambda, CloudFormation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, IAM, Security Groups
DB/programming: SQL, Python, PostgreSQL, AWS Aurora/RDS, MongoDB, Redis
CI/CD: GitHub Actions, Jenkins, AWS CodePipeline, CloudFormation, Terraform
Strong IAM roles/policies expertise
AWS cloud monitoring/alerting setup
Scripting: PowerShell and/or Python
PaaS/SaaS application performance knowledge
Ability to read enterprise architecture diagrams + understand IT security requirements

Additional qualifications:

Comfort with ambiguity, fast-paced/changing environment
Experience building scalable data pipelines
On-premises to AWS migration experience specifically
BA/BS in Computer Engineering, CS, or related field
Strong communication skills

About the company

Company Description Hitachi Solutions is a global Microsoft solutions integrator passionate about developing and delivering industry-focused solutions that support our clients to…