Overseas Contractor

Overseas Contractor Aws Datahub Architect< Torrance CA Onsite < Key Responsibilities:< < Data Architecture Design:< < < < 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. < Come up with a design that accommodates AI/ML applications in the next phase< < < < Data Ingestion and Integration:< < < < 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. < < < < Data Governance and Access Control:< < < < Establish data access controls and security policies to protect sensitive data within the DataHub using IAM roles and policies. < < < < < Develop data governance frameworks including data quality checks, data lineage tracking, and data retention policies. < < < < Data Analytics Enablement:< < < < Create data catalogs and metadata management systems to facilitate data discovery and understanding by business users and data analysts. * Design and implement data views and dashboards using Power BI to enable data exploration and visualization. * Create data warehouses and data marts to meet the needs of the business * Monitoring and Optimization: * Monitor data pipeline performance, data quality, and system health to identify and resolve issues proactively. * Optimize data storage and processing costs by leveraging AWS cost optimization features. * Data Exchange * Develop the required governance, security, monitoring and guard rails to enable efficient data exchange between internal application and their external vendors, partners, and SaaS providers < < < < < * Develop intake process, SLAs, and usage rules for internal and external data set producers and consumers< < < < 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 ETL/ELT 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. < < < Preferred Qualifications:< < * Experience with data lakehouse architectures and the ability to leverage both structured and unstructured data. < * Familiarity with data visualization tools like Tableau or Power BI. < * Strong communication and collaboration skills to work with stakeholders across business and technical teams. < * AWS certifications related to data analytics and architecture. < Torrance - California - USA10 - 16 Years10H14-Oct-2025YACTIVE1410957Mandatory Skills : GCP Data Architecture,MDM Conceptual,Data Architecture,Data lakehouse Architecture,Dimensional Data Modeling

Created: 2025-11-06