Data Architect

Data Architect – Hands-on Modern Data Platform

Location: Remote – USA
Type: Contract
Experience: 8–12+ Years

About the Role

We are looking for a hands-on Data Architect to design, build, and optimize a modern data platform. This is an engineering-focused architecture role where you will be involved in both architecture decisions and hands-on implementation.

What We're Looking For

• 8–12+ years of experience in Data Engineering / Data Architecture

• Strong hands-on experience with Snowflake, Python, and dbt

• Strong knowledge of data modeling and ETL/ELT pipeline development

• Experience with Airflow or similar orchestration tools

• Experience building real-time / event-driven data pipelines

• Experience with API-based data ingestion

• Strong SQL and experience with Snowflake performance tuning and cost optimization

• Experience with data governance, security, and data quality

What You Will Do

• Design and build scalable modern data platforms

• Develop Python and dbt-based data pipelines and transformations

• Design and implement data models

• Lead Snowflake architecture, performance, and cost optimization

• Build API, batch, CDC, and event-driven ingestion pipelines

• Implement data governance, security, and data quality frameworks

• Work closely with engineering and business teams to deliver reliable data solutions

Nice to Have

• Kafka, Kinesis, Pub/Sub, or similar streaming technologies

• AWS, Azure, or Google Cloud Platform

• AI/ML data platform experience

• Data observability / monitoring experience

Ideal Candidate

We are looking for someone who can design the architecture, write the code, build the pipelines, and optimize the platform in production.

Core Technologies:
Snowflake | Python | dbt | SQL | Data Modeling | ETL/ELT | Airflow | Streaming/Event-Driven Data