REQUIRED QUALIFICATIONS:

· 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 high-performance, cloud-native data warehouses.
• Solid understanding of caching technologies (e.g., Redis, Memcached) to optimize latency and throughput.
• Experience designing and implementing end-to-end data pipelines and ETL/ELT processes.
• Strong knowledge of database design, data modeling, and performance tuning.
• Experience in the Wealth Management and/or Billing domain is highly preferred.
• Deep understanding of architectural patterns, non-functional requirements, and trade-offs in designing distributed data systems.

PREFERRED QUALIFICATIONS:

· Experience working 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.

Job Types: Full-time, Contract
Pay: $60.00 - $65.00 per hour
Work Location: On the roa

KEY RESPONSIBILITIES:

· Architect and design data-driven solutions for large-scale applications within the Wealth Management and Billing ecosystem.

• Lead the development of robust data pipelines using technologies such as AWS Glue, Athena, and Snowflake.
• Apply caching strategies and data modeling best practices to optimize system performance and throughput.
• Translate complex business requirements into effective, scalable enterprise data architectures.
• Ensure all solutions align with non-functional requirements (NFRs) including scalability, reliability, availability, maintainability, and performance.
• Collaborate with product managers, data scientists, and engineering teams to design databases, select technologies, and define integration patterns.
• Evaluate new tools and frameworks, perform technical feasibility studies, and provide strategic architectural guidance.
• Document architectural decisions, data flows, and infrastructure components.

· 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 high-performance, cloud-native data warehouses.
• Solid understanding of caching technologies (e.g., Redis, Memcached) to optimize latency and throughput.
• Experience designing and implementing end-to-end data pipelines and ETL/ELT processes.
• Strong knowledge of database design, data modeling, and performance tuning.
• Experience in the Wealth Management and/or Billing domain is highly preferred.
• Deep understanding of architectural patterns, non-functional requirements, and trade-offs in designing distributed data systems