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Data Architect
Data ArchitectUnited IT Solutions • Austin, TX, United States
Data Architect

Data Architect

United IT Solutions • Austin, TX, United States
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  • [job_card.full_time]
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Data Architect Austin, TX / New York City / san Diego(CA) / Fort MIl (SC) [Hybrid]

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.

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.
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