Sr Staff IT Architect

$143K - $185K Pittsburgh, PA, US Senior MLOps Engineer

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Skills & Technologies

AI AgentsAWSAzurePythonRAG

About This Role

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:

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  • 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.

Non-Technical Qualifications:

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  • 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 $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

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

Salary Context

This $143K-$185K range is below the median for MLOps Engineer roles in our dataset (median: $201K across 79 roles with salary data).

View full MLOps Engineer salary data →

Role Details

Title Sr Staff IT Architect
Location Pittsburgh, PA, US
Category MLOps Engineer
Experience Senior
Salary $143K - $185K
Remote No

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