Hiring-AWS Data Architect-Woodland Hills, CA (Hybrid Onsite)-Local to CA only-CH

Empower Professionals - Los Angeles, CA

Full-time - Senior

Los Angeles, CA

Professional, Scientific, and Technical Services

About the position

The AWS Data Architect role involves designing and implementing data solutions using AWS services. The position requires a strong understanding of data architecture, ETL processes, and big data technologies, with a focus on creating scalable and secure data storage and processing solutions. The role is hybrid, requiring in-office presence three days a week in Woodland Hills, CA, and is a contract position lasting over 12 months.

Responsibilities

• Designing and implementing data solutions using AWS services like S3, Glue, EMR, and Kinesis.
• Creating blueprints for data storage, processing, and access, considering performance, scalability, security, and cost-effectiveness.
• Building Lakehouse solutions on AWS using Lambda, EMR, and EKS, and implementing ETL pipelines to move and transform data.
• Designing data access for querying with Athena and integrating Iceberg Tables in Glue Catalog with Snowflake for analytics and reporting.
• Processing large datasets and distributed computing using EMR with Spark and streaming solutions with Kinesis and Kafka.
• Ensuring data quality and compliance with regulations like GDPR, and implementing security measures to protect sensitive information.
• Collaborating with stakeholders to understand their needs and translating them into technical solutions.

Requirements

• 10+ years of experience in data architecture and related fields.
• Deep understanding of core AWS services (S3, EC2, EKS, EMS, VPC, IAM, Glue, Athena).
• Strong knowledge of dimensional modeling, schema design, and data warehousing principles.
• Experience with ETL tools and techniques for data extraction, transformation, and loading.
• Familiarity with big data technologies such as Hadoop, Spark, and Hive.
• Proficiency in SQL and experience with relational databases; NoSQL experience (like DynamoDB) is a plus.
• Hands-on coding experience in Python with PySpark for automation and data processing tasks.
• Understanding of data governance, security best practices, and compliance requirements.

Nice-to-haves

• AWS certifications (e.g., Solutions Architect, Big Data Specialty).
• Experience with NoSQL databases like DynamoDB.