Lead Data Architect

1 month ago

San Francisco, United States ZipRecruiter Full time

Job Description

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.

Benefits:

  • Competitive salary: The industry standard salary for Lead Data Architects typically ranges from $210,000 to $300,000 per year, depending on experience and qualifications.
  • Comprehensive benefits package, including health insurance, retirement plans, and wellness programs.
  • Flexible work arrangements, including remote work options and flexible hours.
  • 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 lead the charge in data architecture? Apply now to join our team and be part of the data revolution

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