Staff Data Architect

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Requirements:

• Minimum 8+ years of experience working with high volume data infrastructure, including 3+ years in data architecture roles
• Proven experience designing and implementing enterprise-wide data architectures and frameworks
• Strong experience with Databricks, AWS, dbt, ETL and Job orchestration tooling
• Extensive experience programming in one of the following languages: Python / Java
• Deep expertise in data modeling, optimizing SQL queries, and system performance tuning
• Proficiency with SQL, AWS, Databases, Apache Spark, Spark Streaming, EMR, and Kinesis/Kafka
• Experience implementing AI/ML solutions within data infrastructure
• Experience with data security, role-based access control, and PII management
• Experience working with freemium models, tiered subscriptions, Subscription Billing Systems (Apple, Google, Recurly, Chargebee), integrations with systems like NetSuite Financials
• Experience in modern development lifecycle including Agile methodology, CI/CD, automated deployments using Terraform, GitHub Actions etc.
• Strong knowledge of the latest open source and data frameworks, modern data platform tech stacks and tools
• Excellent communication skills with the ability to work independently and lead technical discussions
• BS in Computer Science, Software Engineering, Mathematics, or equivalent experience

Responsibilities:

• Design and implement enterprise-wide data architecture strategies that align with business objectives and technical requirements
• Develop reusable frameworks and tools that accelerate development time for the entire data engineering team
• Architect scalable data warehouse solutions that support our growing data volumes while maintaining performance
• Create and maintain data modeling standards and best practices for the organization
• Design, implement, and manage scalable data processing platforms used for real-time analytics and exploratory data analysis
• Manage our financial data from ingestion through ETL to storage and batch processing
• Architect and develop systems and algorithms for distributed real-time analytics and data processing
• Lead the integration of AI and machine learning capabilities into our data infrastructure to accelerate initiatives and improve automation
• Design and implement comprehensive role-based access control systems for data assets
• Develop frameworks and processes for PII management and data privacy compliance
• Establish data governance policies and ensure their implementation across the organization
• Define Data Contracts and Catalog to create a “Data First” environment and normalization of data usage and terminology throughout the organization
• Work to establish policies and norms for data quality pipelines and procedures to ensure data lineage and trust.
• Create and maintain documentation for data security protocols and access management
• Mentor junior engineers, imparting best practices and institutionalizing efficient processes
• Collaborate with finance and analytics teams while applying best practices
• Evaluate and recommend new technologies and frameworks to improve our data architecture
• Lead technical discussions and architecture reviews with stakeholders across the organization