Sr Staff IT Architect

Thermo Fisher Scientific • Carlsbad, CA

80d • $143,000 - $185,000

About The Position

The position involves building, developing, and implementing secure, scalable, and high-performance data solutions using AWS, Microsoft Azure, Databricks, and Microsoft Fabric (Power BI). The role requires architecting end-to-end multi-cloud data platforms, ensuring detailed integration across enterprise data sources, storage, processing, AI services, and consumption layers. Responsibilities include setting up and enforcing data governance, security, and compliance protocols within AWS and Azure cloud environments, managing the assessment and implementation of cloud-based data structures, and collaborating with cross-functional teams to drive the adoption of modern data and AI architectures. The position also involves maintaining guidelines for data modeling, cataloging, lineage tracking, and metadata management across various ecosystems, and driving innovation in data integration and self-service analytics capabilities for enterprise users.

Requirements

• 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.
• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.
• 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.

Benefits

• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees