Sr Staff IT Architect

• Build, develop, and implement secure, scalable, and high-performance data solutions using AWS, Microsoft Azure, Databricks, and Microsoft Fabric (Power BI).
• Architect end-to-end multi-cloud data platforms, ensuring detailed integration across enterprise data sources, storage, processing, AI services, and consumption layers.
• Set up and enforce data governance, security, and compliance protocols within AWS and Azure cloud environments, guaranteeing appropriate access controls and data protection strategies.
• Manage the assessment and implementation of cloud-based data structures, such as data lakes, data warehouses, real-time streaming, and advanced analytics.
• Collaborate with cross-functional teams, including Data Engineers, Data Scientists, AI/ML Engineers, Security Architects, and Business Analysts, to drive the adoption of modern data and AI architectures.
• Maintain guidelines for data modeling, cataloging, lineage tracking, and metadata management across Databricks, Redshift, Synapse, Fabric Lakehouse, and Power BI ecosystems.
• Drive innovation in data integration, AI-powered data mesh strategies, agentic AI workflows, and self-service analytics capabilities for enterprise users.

• Over 8 years of expertise in data architecture, data engineering, or cloud-based data/AI solutions.
• BS/MS or equivalent experience in Computer Science, Information Systems, or a related field.
• Shown proficiency in multi-cloud solutions (AWS and Azure), encompassing S3, Redshift, Glue, Lambda, Kinesis, Azure Data Lake, Synapse Analytics, and Fabric.
• 3+ years working with Databricks and/or Fabric Lakehouse, developing scalable data pipelines, improving Delta Lake storage efficiency, and incorporating security measures.
• Demonstrated proficiency in PySpark, Python, SQL, and Power BI for tasks involving data processing, visualization, ETL/ELT, and transformation.
• Exposure to RAG architectures, vector databases, and agentic AI frameworks for enterprise-scale knowledge and retrieval systems.
• Expertise in cloud security guidelines, IAM roles, encryption strategies, and compliance frameworks (GDPR, HIPAA).
• Proficiency in CI/CD practices for data solutions using GitHub, GitHub Actions, Terraform, and Azure DevOps or equivalent experience.
• Experience implementing real-time and batch data processing solutions using Kafka, Kinesis, Spark Streaming, or Event Hubs.
• Strong problem-solving skills with debugging, performance tuning, and AI/ML model deployment in cloud environments., * Effective leadership abilities to build technical choices and steer teams towards data-driven enterprise solutions.
• Outstanding interpersonal skills to translate sophisticated technical and AI concepts into business-aligned solutions.
• Demonstrable ability to collaborate with team members across IT, business, and AI/analytics departments.
• Experience in crafting AI/ML user documentation, solution blueprints, and architecture diagrams.
• Passion for continuous learning, innovation, and staying ahead of evolving cloud, AI, and data technologies.

The salary range estimated for this position based in California is $143,000.00-$185,000.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

• A choice of national medical and dental plans, and a national vision plan, including health incentive programs
• Employee assistance and family support programs, including commuter benefits and tuition reimbursement
• At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
• Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount