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Sr IT Architect
Job in
Carlsbad, San Diego County, California, 92002, USA
Listed on 2026-03-03
Listing for:
Thermo Fisher Scientific
Full Time
position Listed on 2026-03-03
Job specializations:
-
IT/Tech
Data Engineer, AI Engineer, Data Science Manager, Data Analyst
Job Description & How to Apply Below
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
- 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 Git Hub, Git Hub Actions, Terraform, and Azure Dev Ops 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 $-$.
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
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