Company Overview: Welcome to the forefront of data-driven innovation! Our company is dedicated to harnessing the power of data to drive transformative change and solve complex problems across industries. We're committed to building cutting-edge data architecture solutions that enable efficient data management, storage, and analytics. Join us and be part of a dynamic team shaping the future of data architecture.

Position Overview: As a Senior Data Architect, you'll play a crucial role in designing, building, and optimizing our data architecture solutions. You'll work on challenging projects, from data modeling and schema design to data integration and governance, to support the needs of our data-driven organization. If you're a seasoned architect with expertise in data architecture technologies and a passion for building scalable and robust data systems, we want you on our team.

Requirements

Key Responsibilities:

1. Data Architecture Design: Lead the design and development of our data architecture solutions, including data models, schemas, and architecture, to meet business requirements and ensure efficient data management and storage.
2. Data Modeling: Design and implement data models and schemas to support analytical and operational requirements, ensuring data integrity, consistency, and performance.
3. Data Integration: Design and implement data integration solutions to integrate data from various sources into a unified data architecture, ensuring seamless data flow and interoperability.
4. Data Governance: Define and implement data governance policies and procedures to ensure data quality, security, and compliance with regulatory requirements.
5. Performance Optimization: Optimize data architecture performance through indexing, partitioning, and other techniques, ensuring scalability and responsiveness for analytical and reporting needs.
6. Metadata Management: Establish and maintain metadata management processes to capture and maintain metadata for data assets, ensuring data lineage, governance, and traceability.
7. Data Security: Implement data security controls and encryption mechanisms to protect sensitive data assets and ensure compliance with security standards and regulations.
8. Documentation and Best Practices: Document data architecture designs, processes, and best practices, providing clear and comprehensive documentation to facilitate understanding and collaboration among team members.
9. Collaboration: Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to understand requirements and deliver data architecture solutions that meet business needs.
10. Mentorship and Development: Mentor and coach junior architects and engineers, providing guidance, support, and opportunities for skill development and career growth.

Qualifications:

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
• 8 years of experience in data architecture, with significant experience in designing, building, and optimizing data architecture solutions.
• Proficiency in data modeling tools and techniques, with experience designing and implementing data models and schemas for data warehouses, data lakes, and other data systems.
• Strong understanding of data integration concepts and techniques, with experience integrating data from diverse sources and systems.
• Experience with data governance frameworks and best practices, including data quality management, metadata management, and data lineage tracking.
• Strong problem-solving skills and analytical thinking, with the ability to design and troubleshoot complex data architecture issues.
• Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.

Benefits

• Competitive salary: The industry standard salary for Senior Data Architects typically ranges from $190,000 to $250,000 per year, depending on experience and qualifications.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work hours and remote work options.
• Generous vacation and paid time off.
• Professional development opportunities, including access to training programs, conferences, and workshops.
• State-of-the-art technology environment with access to cutting-edge tools and resources.
• Vibrant and inclusive company culture with opportunities for growth and advancement.
• Exciting projects with real-world impact at the forefront of data-driven innovation.

Join Us: Ready to shape the future of data architecture? Apply now to join our team and be part of the data revolution!