Lead Data Architect

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 lead our efforts in shaping the future of data architecture.

Position Overview: As the Lead Data Architect, you will play a pivotal role in leading our data architecture initiatives and driving the design, implementation, and optimization of our data architecture solutions. You will lead a team of skilled architects and engineers, collaborating closely with cross-functional teams to deliver high-quality data architecture solutions that meet the evolving needs of our data-driven organization. If you're a seasoned architect with expertise in data architecture technologies and a proven track record of leadership in delivering successful data projects, we invite you to join us in this exciting opportunity.

Key Responsibilities:

1. Technical Leadership: Provide guidance, mentorship, and technical leadership to a team of data architects and engineers, fostering a culture of excellence and innovation.
2. 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.
3. Data Modeling: Lead efforts to design and implement data models and schemas to support analytical and operational requirements, ensuring data integrity, consistency, and performance.
4. Data Integration: Lead the design and implementation of data integration solutions to integrate data from various sources into a unified data architecture, ensuring seamless data flow and interoperability.
5. Data Governance: Define and implement data governance policies and procedures to ensure data quality, security, and compliance with regulatory requirements.
6. Performance Optimization: Lead efforts to optimize data architecture performance through indexing, partitioning, and other techniques, ensuring scalability and responsiveness for analytical and reporting needs.
7. Metadata Management: Establish and maintain metadata management processes to capture and maintain metadata for data assets, ensuring data lineage, governance, and traceability.
8. Data Security: Lead efforts to implement data security controls and encryption mechanisms to protect sensitive data assets and ensure compliance with security standards and regulations.
9. Documentation and Best Practices: Define and promote best practices for data architecture design and development, ensuring clear and comprehensive documentation to facilitate understanding and collaboration among team members.
10. 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.
11. 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.
• 10+ years of experience in data architecture, with significant experience in designing, building, and optimizing data architecture solutions.
• Proven leadership experience, with a track record of successfully leading data architecture teams and delivering complex projects.
• 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.

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

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