Position: Data Architect & Strategy Lead
Location: Charlotte, NC
Job Type: Full-Time
We are looking for a talented and experienced Data Architect to join our team. The ideal candidate will have extensive experience in data architecture, cloud data platforms, and machine learning.
Key Responsibilities:
- Design and implement scalable, robust, and efficient data architectures to support advanced analytics and Machine Learning applications.
- Lead the development, implementation, and maintenance of data models, data warehouses, and data lakes.
- Architect and manage large-scale data platforms, specifically using Amazon Redshift and Databricks.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver optimal solutions.
- Ensure data integrity, security, and privacy in compliance with company policies and industry standards.
- Optimize data processing workflows and improve data quality and accessibility.
- Develop and enforce data architecture standards, guidelines, and best practices.
- Provide technical leadership and mentorship to the data engineering team.
- Stay current with emerging data technologies and trends, evaluating their potential impact on the business.
Required Skills and Qualifications:
- Bachelor s or Master s degree.
- 9+ years of experience in data architecture, data engineering, or related roles.
- Strong expertise in Amazon Redshift and Databricks.
- Proficiency in data modeling, ETL processes, and data warehousing concepts.
- Experience with machine learning frameworks and integrating them into data workflows.
- Solid understanding of cloud computing platforms, preferably AWS.
- Strong SQL skills and experience with programming languages such as Python or Scala.
- Familiarity with data governance, data security, and compliance standards.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication and interpersonal skills, with the ability to collaborate effectively across teams.
Preferred Qualifications:
- Experience with additional data platforms such as Snowflake, BigQuery, or Azure Synapse.
- Knowledge of data visualization tools like Tableau or Power BI.
- Certification in AWS, Databricks, or other relevant technologies.
- Understanding of DevOps practices and CI/CD pipelines.