Data Architect

2 weeks ago


Columbus, United States LingaTech Full time

1-year contract role.

HYBRID position - 2 days per week on-site in Columbus, OH

** Local candidates only **


Our client is seeking a talented and results-oriented Data Solution Architect to join our growing team. In this role, you will play a pivotal role in driving data-driven decision-making by implementing data governance and data analytics solutions.


Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Data Science or a related field.
  • Minimum 7 years of experience in data architecture, data modeling, or a similar role.
  • Proven experience in designing and implementing logical and physical data models.
  • In-depth knowledge of data warehousing and data management concepts.
  • Expertise in master data management principles and best practices.
  • Strong understanding of data quality methodologies and data cleansing techniques.
  • Experience with data governance frameworks and procedures.
  • Excellent communication and collaboration skills to work effectively with technical and non-technical stakeholders
  • Proficiency in SQL and data manipulation tools.


Responsibilities:

  • Design and implement logical and physical data models to ensure efficient data storage, retrieval, and analysis.
  • Map data flows between various systems and applications to optimize data movement and minimize errors.
  • Lead the development and implementation of a master data management strategy to ensure data consistency and accuracy across the organization.
  • Develop and enforce data quality standards and processes to maintain the data integrity and ensure smooth exchange within the data platform.
  • Champion and implement data governance frameworks and policies to ensure data security, privacy, and accessibility.
  • Collaborate with cross-functional teams to understand business needs and translate them into technical data solutions that enable collaboration.
  • Stay abreast of emerging data management trends and technologies, evaluating their potential application for enhancing collaboration within the data platform.


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