Lead Data Architect

This is a fully remote position, open to applicants in Tennessee.

📋 Description

• Accountable for the design, construction, and management of the organization's data infrastructure.

• Develop the framework for the collection, storage, processing, and utilization of data, ensuring it is accessible, reliable, and secure.

• Generate and uphold documentation regarding database architecture, procedures, and standards.

• Formulate and execute a holistic data strategy that aligns with business objectives.

• Design conceptual, logical, and physical data models that illustrate the structure and interrelationships of data within the organization.

• Establish and maintain the comprehensive data architecture framework, which includes databases, data warehouses, data lakes, and other data systems.

• Develop and apply data mapping rules to convert data from source systems to target systems, ensuring accuracy and consistency.

• Design and implement processes for integrating data from multiple sources, guaranteeing consistency and accuracy.

• Set up data governance policies and procedures to ensure data quality, security, and HIPAA compliance across all data systems and platforms.

• Assess and recommend data management technologies and tools that cater to the organization's data requirements.

• Identify and resolve data-related challenges, ensuring data integrity and reliability.

• Create and implement architectures that effectively integrate AI models and algorithms with existing data infrastructures.

⛳️ Requirements

• At least 7 years of experience in enterprise data architecture.

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, or equivalent experience.

• A minimum of 10 years in database engineering/management is required.

• Familiarity with software development methodologies (e.g., Agile, DevOps, SDLC, CI/CD, GitHub).

• Over 7 years of experience working with data sources (e.g., APIs) and databases such as Oracle, PostgreSQL, SQL Server, and cloud databases.

• Knowledge of cloud technologies including Azure (Data Factory, Databricks) and AWS.

• Strong understanding of industry best practices — code coverage.

• In-depth knowledge of database concepts, data modeling techniques, system performance analysis and tuning, as well as data warehousing concepts.

• Proficiency in various operating systems such as Linux, Unix, and Windows.

• Capability to write complex queries and perform advanced database operations using SQL.

🏝️ Benefits

• Comprehensive benefits to support physical, mental, and financial well-being.