Sr Staff IT Architect at Thermo Fisher Scientific

Carlsbad, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Life SciencesIndustries

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
Proven 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

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, 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

Skills

Key technologies and capabilities for this role

AWSAzureDatabricksMicrosoft FabricPower BIPySparkPythonSQLRedshiftSynapse AnalyticsDelta LakeGlueLambdaKinesisAzure Data Lake

Questions & Answers

Common questions about this position

What experience level is required for this Sr Staff IT Architect role?

Over 8 years of expertise in data architecture, data engineering, or cloud-based data/AI solutions is required, along with a BS/MS or equivalent in Computer Science or related field.

What are the key technical skills needed for this position?

Proficiency in multi-cloud solutions (AWS and Azure) including S3, Redshift, Glue, Synapse; 3+ years with Databricks and/or Fabric Lakehouse; PySpark, Python, SQL, Power BI; and experience with Kafka, Kinesis, CI/CD tools like Terraform and GitHub Actions.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What soft skills or non-technical qualifications are important for this role?

Effective leadership abilities, outstanding interpersonal skills to translate technical concepts into business solutions, and strong collaboration with cross-functional teams across IT, business, and AI departments are required.

Thermo Fisher Scientific

Provides life sciences products and services

About Thermo Fisher Scientific

Thermo Fisher Scientific offers a variety of products and services that support scientific research and healthcare, including laboratory equipment, reagents, and software solutions. Their products are used in applications like protein biology, real-time PCR, and sequencing, serving clients such as academic institutions and pharmaceutical companies. Unlike competitors, Thermo Fisher emphasizes customer support and education, helping clients optimize their experiments. The company's goal is to be a leading provider of life sciences solutions that contribute to a healthier and safer world.

Waltham, MassachusettsHeadquarters

1956Year Founded

$17MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Increased competition in single-use bioprocessing may impact market share.

Sale of anatomical pathology business could create a temporary product gap.

Investment in miDiagnostics may face regulatory challenges affecting returns.

Differentiation

Thermo Fisher offers a comprehensive range of life sciences products and services.

Their well-known brands include Thermo Scientific, Applied Biosystems, and Invitrogen.

They provide strong customer support and educational resources to optimize client workflows.

Upsides

Expansion of biologics production facility enhances capacity for precision biologics monitoring.

Investment in miDiagnostics aligns with demand for rapid diagnostic solutions in BioPharma.

Collaboration with Mainz Biomed positions them in the growing cancer detection market.

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