"Data Architect"

About the Role

Key Responsibilities

• Designing and implementing end-to-end data pipelines and ETL/ELT processes.
• Building high-performance, cloud-native data warehouses using Snowflake.
• Optimizing latency and throughput through caching technologies such as Redis and Memcached.
• Applying expertise in database design, data modeling, and performance tuning.
• Utilizing tools like Apache Spark, Airflow, or similar orchestration frameworks.
• Working with AWS data services including Glue, Athena, S3, Lambda, etc.
• Familiarity with CI/CD practices in data environments.
• Translating technical solutions into business outcomes through strong communication skills.

Requirements

• 10+ years of experience in data engineering, solution architecture, or technical leadership roles.
• Strong expertise in AWS data services (Glue, Athena, S3, Lambda, etc.).
• Proven experience with Snowflake and building cloud-native data warehouses.
• Solid understanding of caching technologies such as Redis and Memcached.
• Experience designing and implementing data pipelines and ETL/ELT processes.
• Strong knowledge of database design, data modeling, and performance tuning.
• Experience with tools like Apache Spark, Airflow, or similar orchestration frameworks.
• Familiarity with CI/CD practices in data environments.
• Strong communication skills and ability to translate technical solutions into business outcomes.
• Architecture certifications (e.g., AWS Certified Solutions Architect) are a plus.
• Experience in the Wealth Management and/or Billing domain is highly preferred.

Nice to Have

• Experience in the Wealth Management and/or Billing domain.
• Architecture certifications such as AWS Certified Solutions Architect.