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E-Solutions
AWS Data Architect
Company : E-Solutions
Location : Rancho Palos Verdes, CA, 90275
Job Type : Full Time
Date Posted : 1 April 2026
About My Client:-
My client is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients,client brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries
Role--AWS Data Architect
Location -Torrance, CA
Job Type-C2C
Key skill The role requires specific skills around developing CDM (Conceptual Data Model), LDM (Logical Data Model), PDM (Physical Data Model), data modeling, integration, data migration, and ETL development on the AWS platform.
Key Responsibilities
Architect and implement a scalable data hub solution on AWS using best practices for data ingestion transformation storage and access control
Define data models data lineage and data quality standards for the DataHub
Select appropriate AWS services S3 Glue Redshift Athena Lambda based on data volume access patterns and performance requirements
Design and build data pipelines to extract transform and load data from various sources databases APIs flat files into the DataHub using AWS Glue AWS Batch or custom ETL processes
Implement data cleansing and normalization techniques to ensure data quality
Manage data ingestion schedules and error handling mechanisms
Required Skills and Experience
AWS Expertise Deep understanding of AWS data services including S3 Glue Redshift Athena Lake Formation Sep Functions CloudWatch and EventBridge
Data Modeling Proficiency in designing dimensional and snowflake data models for data warehousing and data lakes
Data Engineering Skills Experience with ETLELT processes data cleansing data transformation and data quality checks Experience with Informatica IICS and ICDQ is a plus
Programming Languages Proficiency in Python SQL and potentially PySpark for data processing and manipulation
Data Governance Knowledge of data governance best practices including data classification access control and data lineage tracking
Skills
Mandatory Skills : GCP Data Architecture,MDM Conceptual,Data Architecture,Data lakehouse Architecture,Dimensional Data Modeling.
Disclaimer: E-Solutions Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability."
My client is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients,client brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries
Role--AWS Data Architect
Location -Torrance, CA
Job Type-C2C
Key skill The role requires specific skills around developing CDM (Conceptual Data Model), LDM (Logical Data Model), PDM (Physical Data Model), data modeling, integration, data migration, and ETL development on the AWS platform.
Key Responsibilities
Architect and implement a scalable data hub solution on AWS using best practices for data ingestion transformation storage and access control
Define data models data lineage and data quality standards for the DataHub
Select appropriate AWS services S3 Glue Redshift Athena Lambda based on data volume access patterns and performance requirements
Design and build data pipelines to extract transform and load data from various sources databases APIs flat files into the DataHub using AWS Glue AWS Batch or custom ETL processes
Implement data cleansing and normalization techniques to ensure data quality
Manage data ingestion schedules and error handling mechanisms
Required Skills and Experience
AWS Expertise Deep understanding of AWS data services including S3 Glue Redshift Athena Lake Formation Sep Functions CloudWatch and EventBridge
Data Modeling Proficiency in designing dimensional and snowflake data models for data warehousing and data lakes
Data Engineering Skills Experience with ETLELT processes data cleansing data transformation and data quality checks Experience with Informatica IICS and ICDQ is a plus
Programming Languages Proficiency in Python SQL and potentially PySpark for data processing and manipulation
Data Governance Knowledge of data governance best practices including data classification access control and data lineage tracking
Skills
Mandatory Skills : GCP Data Architecture,MDM Conceptual,Data Architecture,Data lakehouse Architecture,Dimensional Data Modeling.
Disclaimer: E-Solutions Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability."
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