Data Architect

3 days ago

Raleigh, United States Tata Consultancy Services Full time

Must Have Technical/Functional Skills

Experience in Snowflake, AWS, Data Modeling, Informatica, SQL, Oracle, Python, Dimensional Database Solution Building, Data Architecture and CI/CD tools

Experience Required

15+

Roles & Responsibilities

  • Architect, design, and implement robust data solutions using Snowflake, Informatica, SAS
  • Develop and maintain data models, architectures, and frameworks that align with both business and regulatory requirements, with a focus on scalability and performance.
  • Collaborate with business leaders, data engineers, and analysts to translate reporting and analytics needs into a well-architected data ecosystem.
  • Ensure data governance, security, and compliance with regulations, with a focus on safeguarding sensitive data.
  • Lead the design of ETL/ELT processes that support efficient data pipelines for ingestion, processing, and transformation in Snowflake.
  • Optimize data storage and retrieval processes, ensuring fast query performance for complex reporting and analytics use cases.
  • Provide technical leadership and guidance to teams, including code reviews, architectural best practices, and cloud-native design principles.
  • Continuously evaluate and adopt new technologies that enhance data architecture, performance, and security in a Snowflake environment.
  • Documenting and communicating reporting requirements, rules and methodologies for data collection and analysis.
  • Recommending changes to the overall system or network to ensure service to the customer.
  • Models and evaluates the potential impact of data changes.
  • May coach and review the work of less-experienced professionals.
  • Guides the successful completion of major programs and as directed function in a project leadership role.
  • Analyzes organizational data and conducts advanced statistical analysis.
  • Develops technical solutions to complex problems which require the regular use of ingenuity and creativity.
  • Models and evaluates the potential impact of data changes.
  • Develops innovative strategies and quantifies the competitive performance of the organization's operations and/or markets.
  • Coach and review the work of less-experienced professionals.

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