AWS Cloud Data Architect

AWS Cloud Data Architect

Client:
American Honda Motor Co., Inc. |

Location:

Torrance, California | 4 days onsite

• Data Architecture Design
  :
  Architect and implement a scalable data hub solution on AWS using best practices for data ingestion, transformation, storage and access control.
• Data Architecture Design
  :
  Define data models, data lineage and data quality standards for the Data Hub.
• Data Architecture Design
  :
  Select appropriate AWS services (S3, Glue, Redshift, Athena, Lambda) based on data volume, access patterns and performance requirements.
• Data Architecture Design
  :
  Develop 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 Data Hub using AWS Glue, AWS Batch or custom ETL processes.
• Data Ingestion and Integration
  :
  Implement data cleansing and normalization techniques to ensure data quality.
• Data Ingestion and Integration
  :
  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 Data Hub using IAM roles and policies.
• Data Governance and Access Control
  :
  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.
• Data Analytics Enablement
  :
  Design and implement data views and dashboards using Power BI to enable data exploration and visualization.
• Data Analytics Enablement
  :
  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.
• Monitoring and Optimization
  :
  Optimize data storage and processing costs by leveraging AWS cost‑optimization features.
• Data Exchange
  :
  Develop the governance, security, monitoring and guardrails required to enable efficient data exchange between internal applications and external vendors, partners, and SaaS providers.
• Data Exchange
  :
  Develop intake process SLAs and usage rules for internal and external data set producers and consumers.

• AWS Expertise
  :
  Deep understanding of AWS data services including S3, Glue, Redshift, Athena, Lake Formation, Batch, Cloud Watch and Event Bridge.
• 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
  :
  Understanding 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.
• Preferred Qualifications
  :
  Familiarity with data visualization tools such as Tableau or Power BI.
• Preferred Qualifications
  :
  Strong communication and collaboration skills to work with stakeholders across business and technical teams.
• Preferred Qualifications
  : AWS certifications related to data analytics and architecture.

• Comprehensive Medical Plan covering Medical, Dental, Vision
• Short Term and Long‑Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job‑related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be…