Data Architect

Job Description

We are looking for a skilled Data Engineer to play a pivotal role in crafting and managing innovative data solutions within our organization. Based in Lewisville, Texas, this role focuses on leveraging cutting-edge technologies to design, optimize, and maintain data systems that support business objectives. You will collaborate with cross-functional teams to ensure data integrity, governance, and seamless integration across platforms.

Responsibilities:

• Develop and implement comprehensive data architecture strategies that align with business needs and objectives.

• Design and maintain data integration solutions using advanced cloud platforms, ensuring secure and efficient data flow.

• Optimize database structures and data models to improve system performance and operational efficiency.

• Collaborate with stakeholders to gather and translate data requirements into actionable technical plans.

• Create logical and physical data models to support enterprise data warehousing initiatives.

• Establish and enforce standards for data governance, ensuring data quality, security, and consistency.

• Monitor and optimize data systems to identify potential issues and enhance reliability.

• Integrate new technologies into existing frameworks to drive innovation and improve functionality.

• Support IT teams in implementing robust data backup and recovery procedures.

• Stay updated on industry trends, evaluating and adopting modern tools and technologies to enhance data architecture.• Extensive knowledge of data architecture principles, methodologies, and practices.

• Proficiency in Azure services, including Data Factory, Data Lakes, and Databricks.

• Strong expertise in SQL databases, database optimization, and performance tuning.

• Experience with ETL tools such as SSIS for efficient data transformation processes.

• Ability to manage data governance frameworks and ensure compliance with organizational standards.

• Excellent problem-solving and analytical skills to address complex data challenges.

• Bachelor’s degree in Computer Science, Information Systems, or a related field; advanced degrees preferred.

• Minimum of five years of experience in a data engineering or architecture role, with a proven track record of success.

Full-time