AWS Data Architect

Cyber Space Technologies LLC; Neenah (WI); On-site; USD 110,208 - 117,096; Part time

Job summary

A technology services firm is in search of a highly skilled AWS Data Architect to design and optimize cloud-based data platforms. The ideal candidate will have extensive expertise in AWS cloud services, data modelling, and ETL pipelines. Key responsibilities include designing end-to-end data architectures, ensuring data governance, and collaborating with stakeholders to deliver scalable solutions. This role requires 12+ years of experience and strong technical skills in AWS and data management. Contract position based in Neenah, WI.

Qualifications

• 12+ years of experience in data architecture, data engineering, or cloud architecture.
• Strong hands-on experience with AWS services.
• Proficiency in SQL and Python.

Responsibilities

• Design and implement end-to-end data architectures on AWS.
• Define data ingestion and transformation strategies using AWS services.
• Collaborate with stakeholders to translate requirements into data solutions.

Skills

AWS Cloud Services

Data Modelling

SQL

Python

ETL frameworks

Stakeholder Management

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

AWS Glue

AWS Lambda

AWS S3

AWS Redshift

Kubernetes

Job description

Cyber Space Technologies LLC provided pay range

This range is provided by Cyber Space Technologies LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80.00/hr - $85.00/hr

Direct message the job poster from Cyber Space Technologies LLC

Talent Acquisition Lead | Certified Tech Recruiter

Job Title: AWS Data Architect

Location: Neenah, WI or Oconomowoc, WI (Day 1 Onsite)

Note: Candidate should have solid experience in End – End in AWS Architecture, Snowflake Architecture, CI/CD, Terraform, Kubernetes & Stakeholders Management.

Position Summary:

We are seeking a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms that support scalable analytics and business intelligence. The ideal candidate will have strong expertise in AWS cloud services, data modelling, data lakes, ETL pipelines, and big data ecosystems.

Key Responsibilities:

• Design and implement end-to-end data architectures on AWS, including data lakes, data warehouses, and streaming solutions.
• Define data ingestion, transformation, and storage strategies using AWS services such as Glue, Lambda, EMR, S3, Redshift, and Athena.
• Architect ETL/ELT pipelines to ensure efficient, secure, and reliable data flow.
• Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into scalable data solutions.
• Establish data governance, security, and compliance frameworks following AWS best practices (IAM, KMS, Lake Formation).
• Optimize data platforms for performance, scalability, and cost efficiency.
• Lead data migration initiatives from on-premises or other cloud platforms to AWS.
• Provide technical guidance and mentorship to data engineering teams.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 12+ years of experience in data architecture, data engineering, or cloud architecture.
• Strong hands‑on experience with AWS services, including:
• Storage & Compute: S3, EC2, Lambda, ECS, EKS
• Data Processing: Glue, EMR, Kinesis, Step Functions
• Security & Governance: IAM, KMS, Lake Formation
• Proficiency in SQL, Python, and ETL frameworks.
• Experience with data modeling techniques such as 3NF, Dimensional Modeling, and Data Vault.
• Familiarity with data governance and metadata management tools.
• Excellent communication and stakeholder management skills.

Seniority level

Executive

Employment type

Contract

Job function

Information Technology

Industries

Information Services

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