AWS DATA ARCHITECT
Aroha Technologies
Torrance, CA
Apply
JOB DETAILS
JOB TYPE
Temporary, Contractor, Full-time
SKILLS
AWS Lambda, Access Control, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Apache, Apache Kafka, Apache Spark, Artificial Intelligence (AI), Banking Services, Best Practices, Big Data, Business Intelligence, Cloud Computing, Communication Skills, Computer Science, Cost Control, Cryptography, Data Analysis, Data Lake, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Data Warehousing, DataArchitect Data Modeling Tool, Database Extract Transform and Load (ETL), Design Patterns Programming Methodologies, Disaster Recovery, Distributed Computing, Electronic Medical Records, Healthcare, High Availability, Information/Data Security (InfoSec), Mentoring, Metadata, Performance Tuning/Optimization, Python Programming/Scripting Language, Quality Management, Regulatory Compliance, Retail, Technical Leadership
LOCATION
Torrance, CA
POSTED
9 days ago
Job Description (Posting). | AWS Data Architect Job Summary Key Responsibilities • Design and implement end to end data architectures on AWS for batch and real time data processing • Define data modeling strategies (conceptual, logical, physical) for data lakes, data warehouses, and analytical platforms • Architect and optimize AWS data services, including: o Amazon S3, Redshift, Athena, Glue, EMR, RDS, DynamoDB o Kinesis, MSK, Lambda, Step Functions • Design data ingestion pipelines from structured and unstructured sources • Establish data governance, security, and compliance standards (IAM, encryption, data classification, access control) • Implement high availability, disaster recovery, and cost optimization strategies • Collaborate with Data Engineers on ETL/ELT pipeline design and performance tuning • Support advanced analytics, BI, and ML workloads using AWS analytics and AI/ML services • Define best practices, reference architectures, and design patterns • Review existing data platforms and lead cloud migration and modernization initiatives • Provide technical leadership and mentorship to engineering teams |
Experience | 9-11 Years |
Qualification | Bachelor of Technology/ Engineering |
Skill (Primary) | Data Science-Advanced Analytics-Python |
Other Requirement | Location : Torrance CA(onsite) Required Skills & Qualifications • 8+ years of experience in data architecture, data engineering, or analytics platforms • 3+ years of hands on experience with AWS cloud services • Strong expertise in: o Data warehousing and data lake architectures o Distributed systems and big data technologies • Experience with infrastructure as code (CloudFormation, Terraform) • Strong knowledge of security, IAM, networking, and compliance in AWS Required Skills & Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field • 8+ years of experience in data architecture, data engineering, or analytics platforms • 3+ years of hands on experience with AWS cloud services • Strong expertise in: o Data warehousing and data lake architectures o SQL and data modeling (star/snowflake schemas) o ETL/ELT frameworks and orchestration • Solid understanding of: o Distributed systems and big data technologies o Streaming and real time data processing • Experience with infrastructure as code (CloudFormation, Terraform) • Strong knowledge of security, IAM, networking, and compliance in AWS • Excellent communication and stakeholder management skills Preferred / Nice to Have Skills • Experience with Databricks, Apache Spark, Kafka • Exposure to AWS Lake Formation, Apache Iceberg, Delta Lake, Hudi • Knowledge of data quality, metadata management, and lineage tools • Experience supporting AI/ML workloads on AWS (SageMaker) • Prior experience in regulated industries (Banking, Healthcare, Telecom, Retail) AWS Certifications (Preferred) • AWS Certified Data Analytics – Specialty • AWS Certified Solutions Architect – Professional • AWS Certified Database – Specialty |
About the Company
A