Data Architect

About the role

Euna is looking for a Data Architect to fill a contract role based in Atlanta, Georgia. The position centers on shaping the structure and governance of data assets across the organization. This architect will be responsible for designing scalable data models and ensuring that information flows reliably between systems. The role requires close coordination with engineering and analytics teams to align data strategy with business goals. As a key technical leader, the Data Architect will influence how Euna stores, organizes, and retrieves critical information. The architect will also evaluate current data practices and propose improvements that increase efficiency and reduce redundancy. This contract engagement offers the chance to make a lasting impact on how the company manages its data resources.

Key facts

What you'll do

1. Design and maintain enterprise-wide data models that support current and future business needs across departments.

2. Evaluate existing data infrastructure and identify opportunities to improve performance, reliability, and scalability of storage systems.

3. Collaborate with cross-functional teams to understand data requirements and translate them into effective architectural blueprints.

4. Develop and document data governance policies that ensure consistency, security, and compliance with organizational standards.

5. Lead the integration of new data sources and oversee migration efforts from legacy platforms.

6. Monitor data quality metrics and implement validation processes to maintain accuracy across all datasets.

1. Create technical roadmaps for data platform evolution in alignment with long-term company objectives.

8. Mentor junior data engineers and provide guidance on best practices for data modeling and warehousing.

9. Assess emerging data technologies and recommend tools that can enhance the organization's analytical capabilities.

10. Coordinate with stakeholders to define data access controls and establish clear ownership for each data domain.

11. Participate in code and design reviews to ensure architectural decisions meet established standards and best practices.

12. Support disaster recovery planning for data systems and define backup procedures that minimize potential data loss.

Requirements

1. Demonstrated experience designing and implementing data architectures in enterprise environments with complex data ecosystems.

2. Strong understanding of database systems, including modeling, optimization, and query performance tuning across platforms.

3. Proficiency in query languages and experience working with large-scale data warehouses and analytical platforms.

4. Bachelor's degree in computer science, information technology, or a related quantitative discipline is required.

5. Ability to communicate technical concepts clearly to both engineering teams and business stakeholders.

6. Experience with data governance frameworks and familiarity with regulatory requirements for data handling.

7. Track record of delivering data architecture projects on schedule within cross-functional team settings.

8. Comfort with iterative design processes and willingness to adapt architectures as business needs evolve.

9. Experience working with metadata management tools and data catalogs to maintain an organized data inventory.

10. Understanding of data security principles including encryption, access control, and authentication mechanisms for sensitive datasets.

1. Familiarity with major cloud platforms and their data services offerings.

2. Experience with extract-transform-load and extract-load-transform pipeline approaches and associated tooling.

3. Knowledge of containerization and orchestration technologies for data platform deployment.

4. Prior experience in a contract or consulting role supporting multiple clients or projects simultaneously.

5. Exposure to real-time data streaming and event-driven architecture patterns for modern data systems.

6. Professional certifications in cloud data services or data engineering disciplines from recognized providers.

Skills & tools

1. Data modeling methodologies including dimensional modeling, entity-relationship diagrams, and normalization techniques.

2. Database administration and performance tuning for both transactional and analytical workloads.

3. Version control systems and collaborative development practices for infrastructure as code.

4. Data integration patterns and middleware solutions for connecting disparate systems.

5. Scripting and automation languages used for data pipeline monitoring and reporting tasks.

6. Visualization and reporting tools used to communicate data insights to non-technical audiences.

7. Orchestration frameworks and workflow scheduling tools for automated data processing operations.

8. Monitoring and observability platforms used to track data pipeline health and system performance metrics.

Practical notes

1. This is a contract position based in Atlanta, Georgia with potential for hybrid or on-site work arrangements.

2. Candidates should expect to engage in regular collaboration with Euna's engineering and analytics teams throughout the contract term.

3. The initial contract duration and renewal terms will be discussed during the interview process with the hiring team.

4. Euna is an equal opportunity employer and is committed to creating an inclusive environment for all employees.

5. Applicants should be prepared to discuss previous contract engagements and how they adapted to different organizational cultures.

6. The hiring timeline may vary depending on team availability, and candidates are encouraged to apply promptly.