Data Architect

We’re looking for a highly skilled Data Architect with experience in data warehousing to design and optimize our data platform. You’ll play a critical role in shaping our data ecosystem—defining architecture, ensuring scalability, and enabling advanced analytics and reporting across the organization. Key Responsibilities Design and implement scalable, secure, and high-performance data architectures on AWS using Snowflake as the central data warehouse; Design and optimize ELT/ETL pipelines using tools such as Airflow and Snowflake Streams and Procedures; Lead the design of data models (Star/Snowflake schema) and data marts for analytics and operational reporting; Work with data engineers, BI, and other technical teams and business stakeholders to understand requirements and translate them into technical data solutions; Establish data governance, cataloging, and lineage practices; Ensure compliance with data security, privacy, and regulatory standards; Drive performance tuning, cost optimization, and best practices in Snowflake and across the data stack; Document architectural decisions and technical designs for team collaboration and future scalability. Requirements 4+ years of experience in data engineering or architecture roles; Strong experience with AWS cloud services such as S3, Redshift, Glue, Lambda, IAM, and CloudFormation/Terraform; Proficiency in SQL, Python, and modern data pipeline frameworks (e.g., dbt, Airflow); Solid understanding of data modeling, data warehousing principles, and dimensional design; Experience with CI/CD practices and infrastructure as code in a data environment; Excellent communication and documentation skills. Nice to Have Hands-on experience with Snowflake (warehousing, performance tuning, data sharing); Experience integrating with BI tools like Power BI or Tableau; Knowledge of data lake architecture and streaming technologies (Kafka, Kinesis); Certifications in Snowflake or AWS (e.g., SnowPro Core, AWS Data Analytics Specialty).