Mid- Level Data Architect

$105,000 - $125,000/Yr

Mth Consulting - Huntsville, AL

Full-time - Mid Level

Huntsville, AL

Professional, Scientific, and Technical Services

About the position

We are seeking an experienced Enterprise Data Architect to design and develop solutions for complex data sets and lead the development of enterprise data architectures. This role involves collaborating with various teams to align data strategies with business objectives, ensuring the integrity, accuracy, and quality of data across the enterprise.

Responsibilities

• Design and develop solutions for complex data sets to meet business requirements.
• Lead the development of enterprise data architectures, strategies, and recommendations that align with business goals.
• Design high-level conceptual and logical data models that enable cross-system and cross-functional views of data requirements.
• Establish and implement processes for governing the identification, collection, and use of corporate metadata, ensuring accuracy, validity, and quality.
• Provide leadership to system and local workgroups, guiding them in data-related best practices.
• Design and build both relational and non-relational databases, supporting diverse business needs.
• Translate business requirements into long-term architecture solutions that ensure scalability and efficiency.
• Review object and data models, along with metadata repositories, to structure data for better management, faster access, and improved data utilization.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Proven experience in enterprise data architecture, data modeling, and database design.
• Expertise in relational and non-relational database systems (e.g., SQL, NoSQL).
• Strong understanding of metadata management, data governance, and data quality frameworks.
• Experience translating business needs into scalable and effective data architecture solutions.
• Excellent analytical, problem-solving, and leadership skills.

Nice-to-haves

• Experience with cloud-based data architecture (e.g., AWS, Azure, Google Cloud).
• Proficiency in data modeling tools and data management platforms.
• Familiarity with data warehousing concepts, big data technologies, and advanced analytics.
• Strong knowledge of data integration, ETL processes, and metadata repositories.

Benefits

• 401(k)
• Health insurance