AWS Data Architect

TechDigital Group; Torrance (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A technology solutions company is seeking a skilled individual to lead data warehousing and data mesh implementations within the AWS cloud ecosystem. Candidates must possess over 8 years in data-related fields, demonstrating strong expertise in building and optimizing data processing frameworks, particularly using AWS services. Essential skills include knowledge of ETL pipelines, Python, and SQL. The role offers the opportunity to work on cutting-edge cloud technologies in an innovative environment.

Qualifications

• 8+ years of experience in data warehousing and/or data mesh implementations.
• Proven experience in the AWS cloud ecosystem.
• Hands-on expertise in ETL pipelines optimization.

Skills

AWS cloud native data platform

ETL expertise

Data modeling

Python

PySpark

SQL

Airflow

Job description

Mandatory Skills-AWS cloud native data platform - S3, Glue – ETL & Catalog, PySpark, Redshift, DMS, Kinesis, IaC, Informatica Power Center, Lambda and Step functions

Job Summary:

• Overall experience of 8+ years in data warehousing and/or data mesh implementations with 4+ years in AWS cloud ecosystem
• Strong experience with distributed data processing (Spark, AWS Glue, EMR, or equivalent).
• Hands-on expertise with data modeling, ETL pipelines, and performance optimization.
• Strong hands‑on expertise in building and optimizing ETL pipelines into Amazon Redshift
• Proficiency in Python, PySpark and SQL; familiarity with Iceberg tables preferred.
• Solid background in Data Analysis and Data Warehousing concepts (star/snowflake schema design, dimensional modeling, and reporting enablement).
• Orchestration experience with Airflow, Step Functions, and Lambda
• Experience with Redshift performance tuning, schema design, and workload management.