Sr IT Architect

Position: Sr Staff IT Architect
This job is with Thermo Fisher Scientific, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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.

How You Will Get Here:

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.

Non-Technical

Qualifications:

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.

Compensation and Benefits
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

For more information on our benefits, please visit:

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