Data Architect

You Will

• Collaborate with cross-functional stakeholders including product management, engineering, analytics, and key business representatives to align the architecture, vision and roadmap with stakeholder needs
• Establish guidelines, controls, and processes to make data available for developing scalable data-driven solutions for Analytics and AI
• Create and set best practices for data ingestion, integration, and access patterns to support both real-time and batch-based consumer data needs
• Design and develop scalable, high-performance data architecture solutions that supports both the consumer side of the business as well as analytic use cases
• Implement security measures to safeguard sensitive data from unauthorized access, ensuring data privacy, and compliance with relevant regulations
• Plan and oversee large-scale and complex technical migrations to new data systems and platforms
• Drive continuous data transformation to minimize technical debt
• Display strong thought leadership in pursuit of modern data architecture principles and technology modernization
• Define and lead technology proof of concepts to ensure feasibility of new data technology solutions
• Provide technical leadership and mentorship to the members of the team
• Create comprehensive documentation for design, and processes to support ongoing maintenance and knowledge sharing
• Conduct design reviews to ensure that proposed solutions address platform and stakeholder pain points, as well as meet business, and technical requirements, with alignment to standards and best practices
• Prepare and deliver efficient communications to convey architectural direction and how it aligns with company strategy. Be able to explain the architectural vision and implementation to executives

You Have

• Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership
• Proven expertise in designing data platforms for large-scale data and diverse data architectures, including warehouses, lakehouses, and integrated data stores.
• Proficiency in a variety of technologies such as: SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper
• Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR)
• Proficient in addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives
• Exposure to analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data
• Analytical and problem-solving skills to address data-related challenges and find optimal solutions
• Ability to manage projects effectively, plan tasks, set priorities, and meet deadlines in a fast-paced and ever changing environment