Data Environment Architect

1 week ago


WinstonSalem, United States Parks Automotive Group Full time
Job Responsibilities

Data Lake Development:

  • Design and implement a scalable data lake architecture.
  • Define data ingestion processes and ensure data quality and integrity.
  • Collaborate with stakeholders to understand data requirements and ensure alignment with business goals.

Business Intelligence Tools

  • Evaluate and implement business intelligence (BI) tools to enable data visualization and reporting.
  • Develop dashboards and reports to provide actionable insights for decision-making.
  • Train end-users on BI tools and best practices for data utilization.

Data Migration

  • Develop a comprehensive data migration strategy to transition legacy systems to the new data environment.
  • Coordinate with IT and business teams to ensure seamless data transfer with minimal disruption.
  • Monitor and troubleshoot migration processes to ensure data accuracy and consistency.

Collaboration And Stakeholder Engagement

  • Work closely with cross-functional teams to gather requirements and provide updates on project progress.
  • Act as a liaison between technical teams and business units to ensure alignment on data initiatives.

Best Practices And Governance

  • Establish data governance policies and best practices to ensure data security and compliance.
  • Stay current with industry trends and technologies to recommend improvements and innovations.

Job Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
  • 5+ years of experience in data architecture, data engineering, or a related role.
  • Proven experience with data lake technologies (e.g., AWS S3, Azure Data Lake) and BI tools (e.g., Tableau, Power BI).
  • Strong understanding of data modeling, ETL processes, and data governance.
  • Experience in the automotive industry is a plus.
  • Excellent communication skills and ability to work collaboratively with diverse teams.

Preferred Skills

  • Familiarity with cloud platforms (AWS, Azure, Google Cloud).
  • Knowledge of programming languages (e.g., Python, SQL).
  • Experience with data visualization and reporting tools.


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