Role : Big Data Architect

Location : Phoenix, AZ

Experience: 12+ years

We are seeking an experienced Senior Data Architect to modernize and optimize our existing data

architecture, primarily focused on virtual assistant conversational data. This includes large data volumes,

multi-table structures, and multi-modality data formats, currently hosted in a traditional RDBMS

environment. The role involves rethinking the data schemas, fine-tuning performance, and migrating the

data to modern technologies like BigQuery or other scalable, efficient platform

Technical Expertise:

Strong experience in designing and managing relational databases (e.g., MySQL, PostgreSQL, Oracle). ? Hands-on experience with cloud-based data platforms like Google BigQuery, Snowflake, AWS Redshift, or similar. ? Proficiency in Apache Flink, Kafka, SQL and data modeling tools.

Performance Optimization: ? Proven track record of fine-tuning large-scale databases, including indexing, partitioning, and query optimization. ? Experience in schema redesign and migration strategies.

Modern Data Solutions: ? Knowledge of multi-modality data handling and NoSQL solutions (e.g., MongoDB, DynamoDB). ? Familiarity with ETL/ELT pipelines and tools like Apache Airflow, DBT, or similar.

Key Responsibilities

1. Data Architecture Modernization:

Analyze the current RDBMS-based architecture for virtual assistant conversational data.

Redesign and modernize data schemas to support scalability, performance, and multi-modality use cases.

 Incorporate emerging data storage technologies such as BigQuery, Snowflake, or other cloud-native platforms.