Data Architecture Lead

1 month ago


Louisville, Kentucky, United States Merican Inc Full time
Job Overview

Merican Inc is seeking a highly skilled Data Architecture Lead to design and implement data architecture solutions that meet business requirements and technical constraints. The ideal candidate will have extensive experience with SQL Server, including database design, development, and performance tuning.

Key Responsibilities
  • Design and implement data architecture solutions that meet business requirements and technical constraints.
  • Oversee the design, development, and maintenance of ETL processes using SQL Server Integration Services (SSIS).
  • Lead the migration of legacy DTS packages to SSIS, ensuring optimal performance and minimal disruption.
  • Develop and enforce best practices for data integration, data quality, and data governance.
  • Collaborate with business analysts, ETL developers, and other stakeholders to understand data requirements and translate them into data architecture solutions.
  • Ensure data quality and integrity throughout the data lifecycle.
  • Develop and maintain comprehensive documentation for data architecture, data flows, and ETL processes.
  • Provide technical leadership and mentoring to ETL developers and other team members.
  • Conduct regular reviews and updates to the data architecture to ensure it meets changing business needs and technological advancements.
  • Stay current with industry trends and best practices in data architecture, data integration, and data management.
Requirements
  • 12 to 15 years of experience in data architecture, data integration, and ETL development.
  • Extensive experience with SQL Server, including database design, development, and performance tuning.
  • Strong expertise in SSIS and proven experience migrating DTS packages to SSIS.
  • In-depth understanding of data warehousing concepts, data modeling, and data governance.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels.
  • Experience leading and mentoring technical teams.
  • Certification in data architecture or related fields.


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