Job Title: Data Solutions Architect / Data SME

Location: Atlanta, GA

Duration: 12 Month with possible extension

Key Responsibilities:

• Design and Development: Design scalable and efficient data architecture, including data models, storage solutions, and data integration processes.
• Develop data management frameworks and standards to ensure data integrity, quality, and security.
• Create and maintain comprehensive data architecture documentation.
• Collaboration: Work closely with business leaders, data savvy colleagues to understand their business problems, and desired outcomes using data strategy and translate these requirements into data solutions using various technology stack.
• Collaborate with data engineers, data scientists, and software developers to implement data solutions.
• Act as a liaison between IT and business units to ensure alignment of data initiatives with business objectives.
• Collaborate with machine learning and AI teams to ensure data architecture supports scalable model training, inference, and deployment.
• Design and optimize data pipelines and storage solutions to meet the requirements of ML/AI workflows.
• Ensure real-time and batch processing capabilities align with ML/AI operational needs.
• Implementation and Maintenance: Hands-on implementation of data architecture projects, ensuring they are delivered on time and within budget.
• Monitor and maintain data systems to ensure optimal performance and reliability.
• Develop and enforce data governance policies and procedures.
• Innovation and Best Practices: Stay up to date with the latest industry trends and technologies in data architecture and management.
• Identify opportunities for improvement and innovation within the existing data infrastructure.
• Promote best practices in data architecture and data management throughout the organization.
• Compliance and Security: Ensure data solutions comply with relevant data privacy and security regulations.
• Implement data security measures to protect sensitive information.

Technical Skills:

• A minimum of 10 years of experience in data architecture, data analysis, or data management
• Strong proficiency in working with large complex data sets
• Proficiency in SQL, NoSQL, and relational databases (e.g., MongoDB, MySQL, PostgreSQL, etc.)
• Proficient in Cloud platforms ( AWS/Azure )
• Experience of designing the modern data lake architectures
• Experience with data warehousing solutions such as Redshift, or Google Big Query.
• Expertise in ETL tools (e.g., Talend, Informatica) and data integration frameworks.
• Proficiency with big data technologies (Hadoop, Kafka, etc.) and data visualization tools (Tableau, Power BI).
• Proficient in programming languages: SQL, Python.
• Strong grasp of data governance principles, data privacy laws (GDPR, CCPA), and security best practices.

Soft Skills:

• Strong analytical skills with the ability to interpret complex data and make data-driven decisions
• Strong communication and interpersonal skills.
• Ability to work effectively in a team-oriented environment.
• Detail-oriented with a focus on data accuracy and quality.

Qualifications:

• Education: Bachelor’s or master’s degree in computer science, Information Technology, Data Science, or a related field.
• Experience: Minimum of 10 years of experience in data architecture, data management, or a related role.
• Preferably Professional certifications in data architecture or related fields.
• Experience with machine learning and advanced analytics.