Data Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Architect and enhance the data platform utilizing Snowflake as the primary data warehouse and dbt for transformation logic.

• Design and execute batch and streaming pipelines within AWS, ensuring both scalability and cost-effectiveness.

• Establish best practices for data modeling, warehouse schema design, and the standardization of the semantic layer using dbt.

• Define and uphold data governance, security, and privacy policies in alignment with compliance frameworks.

• Lead the migration of data from legacy sources to AWS while collaborating with DevOps to automate and secure deployments.

• Collaborate with engineering, product, and business stakeholders to comprehend data requirements and align solutions with business objectives.

• Mentor and guide data engineers, supporting code reviews, architectural evaluations, and team skill enhancement.

⛳️ Requirements

• 8+ years of experience in data architecture, with extensive expertise in managing a modern data platform end to end: pipelines, storage, modeling, governance, and monitoring.

• Proficient in data modeling (3NF, star/snowflake schemas), ELT/ETL design, and performance optimization.

• Strong understanding of AWS services (S3, Glue, Lambda, Redshift, Kinesis, etc.).

• Excellent programming skills in SQL and Python; experienced with CI/CD and data testing in dbt.

• Knowledge of data governance, lineage, metadata management, and frameworks for data quality.

• Experience with streaming technologies (Kafka, Kinesis) and handling large-scale datasets.

• Demonstrated experience in modernizing platforms and executing migrations while maintaining live systems.

• Incorporates documentation, data quality, observability, and testing as standard practices while balancing scalability, performance, maintainability, and cost.

• Designs architecture and makes technology decisions, rather than merely implementing them; establishes common patterns and standards across application teams.

• Comfortable working across both engineering and business domains.

• Experience in platform modernization and cloud migration projects is preferred.

• Familiarity with tools such as Airflow, Terraform, Great Expectations, or Monte Carlo is preferred.

🏝️ Benefits

• Comprehensive health and wellness benefits.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements to support work-life balance.

• Collaborative and innovative work environment.