Data Architect

$150,000 - $230,000/Yr

Unclassified - San Francisco, CA

Full-time - Mid Level

Remote - San Francisco, CA

About the position

Welcome to the forefront of data architecture! At our company, we're dedicated to leveraging the power of data to drive insights and innovation. Our mission is to develop scalable and efficient data architecture solutions that enable organizations to unlock the full potential of their data. As a Data Architect, you'll play a critical role in designing, building, and maintaining our data architecture to support the needs of our organization. Working closely with cross-functional teams of data engineers, analysts, and business stakeholders, you'll ensure the reliability, scalability, and efficiency of our data solutions. If you're passionate about data architecture and eager to drive innovation through scalable data solutions, we want you on our team.

Responsibilities

• Design and architect scalable and efficient data architecture solutions to meet business requirements, including data models, schemas, and storage structures.
• Develop and maintain conceptual, logical, and physical data models to support data integration, analysis, and reporting.
• Implement data governance policies and standards to ensure the quality, integrity, and security of data assets, and ensure compliance with regulatory requirements.
• Design and implement data integration solutions to ingest and integrate data from diverse sources, ensuring data consistency and coherence across systems.
• Manage data storage solutions, including databases, data lakes, and cloud storage services, optimizing for performance, cost, and scalability.
• Define and implement data lifecycle management processes to manage the lifecycle of data from creation to archival or deletion.
• Implement data quality checks, validation rules, and metadata management processes to ensure the accuracy, completeness, and consistency of data.
• Document data architecture designs, standards, and best practices, and collaborate with cross-functional teams to ensure alignment and transparency.

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or related field.
• Strong background in data architecture, with hands-on experience in designing, building, and optimizing data architecture solutions.
• Proficiency in data modeling techniques and tools, including ER modeling, dimensional modeling, and data modeling tools (e.g., ERwin, ER/Studio, PowerDesigner).
• Experience with database technologies such as relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra).
• Familiarity with data warehousing concepts and technologies, including ETL (Extract, Transform, Load) processes, data lakes, and data warehouse platforms (e.g., Amazon Redshift, Google BigQuery).
• Strong problem-solving abilities and analytical thinking, with a keen attention to detail and a passion for tackling complex technical challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

Benefits

• Competitive salary: The industry standard salary for Data Architects typically ranges from $150,000 to $230,000 per year, depending on experience and qualifications. Exceptional candidates may be eligible for higher compensation packages.
• 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 team-building activities and social events.
• Opportunities for career growth and advancement within the company.
• Exciting projects with real-world impact across diverse industries.
• Chance to work alongside top talent and industry experts in the field of data architecture and management.