NLB Services
Job Title
AWS Data Architect
Location Wisconsin, United States
Responsibilities
Design and implement end-to-end data architectures on AWS (data lakes, data warehouses, and streaming solutions).
Define data ingestion, transformation, and storage strategies using AWS native services (Glue, Lambda, EMR, S3, Redshift, Athena, etc.).
Architect ETL/ELT pipelines and ensure efficient, secure, and reliable data flow.
Collaborate with data engineers, analysts, and business stakeholders to translate business needs into scalable data solutions.
Establish data governance, security, and compliance frameworks following AWS best practices (IAM, KMS, Lake Formation).
Optimize data systems for performance, cost, and scalability.
Lead data migration projects from on-prem or other clouds to AWS.
Provide technical guidance and mentorship to data engineering teams.
Required Skills & Qualifications
10+ years of experience in data architecture, data engineering, or cloud architecture.
Strong hands‑on experience with AWS services:
Storage & Compute: S3, EC2, Lambda, ECS, EKS
Data Processing: Glue, EMR, Kinesis, Step Functions
Seniority Level Mid‑Senior level
Employment Type Contract
Job Function Information Technology and Consulting
Industries IT Services and IT Consulting
#J-18808-Ljbffr
Location Wisconsin, United States
Responsibilities
Design and implement end-to-end data architectures on AWS (data lakes, data warehouses, and streaming solutions).
Define data ingestion, transformation, and storage strategies using AWS native services (Glue, Lambda, EMR, S3, Redshift, Athena, etc.).
Architect ETL/ELT pipelines and ensure efficient, secure, and reliable data flow.
Collaborate with data engineers, analysts, and business stakeholders to translate business needs into scalable data solutions.
Establish data governance, security, and compliance frameworks following AWS best practices (IAM, KMS, Lake Formation).
Optimize data systems for performance, cost, and scalability.
Lead data migration projects from on-prem or other clouds to AWS.
Provide technical guidance and mentorship to data engineering teams.
Required Skills & Qualifications
10+ years of experience in data architecture, data engineering, or cloud architecture.
Strong hands‑on experience with AWS services:
Storage & Compute: S3, EC2, Lambda, ECS, EKS
Data Processing: Glue, EMR, Kinesis, Step Functions
Seniority Level Mid‑Senior level
Employment Type Contract
Job Function Information Technology and Consulting
Industries IT Services and IT Consulting
#J-18808-Ljbffr