Data Environment Architect

Description

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.

Qualifications

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.

Salary : $130,000 - $155,000