Join our dynamic team as a Senior Data Architect where you will build and implement secure, scalable data solutions using AWS, Microsoft Azure, Databricks, and Microsoft Fabric (Power BI). You will architect end-to-end multi-cloud data platforms, integrate enterprise data sources, enforce governance and security protocols, and manage cloud-based data structures like data lakes and warehouses. Collaborate with cross-functional teams to drive the adoption of modern data and AI architectures, maintain guidelines for data modeling and metadata management, and innovate in areas such as agentic AI workflows and self-service analytics. The ideal candidate has over 8 years of experience in data architecture or engineering, proficiency in multi-cloud solutions including Databricks and Fabric Lakehouse, expertise in PySpark, Python, SQL, and Power BI, and a strong background in cloud security and CI/CD practices.
Build and implement secure, scalable data solutions using AWS, Azure, Databricks, and Microsoft Fabric.
Architect multi-cloud data platforms integrating enterprise data sources, storage, processing, AI services, and consumption layers.
Set up and enforce data governance, security, and compliance protocols in cloud environments to ensure data protection.
Manage the assessment and implementation of cloud-based data structures like data lakes, warehouses, real-time streaming, and analytics.
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.
What we're looking for
Over 8 years of experience in data architecture and cloud-based solutions.
Proficiency in AWS, Azure, Databricks, and Microsoft Fabric (Power BI).
Expertise in multi-cloud data platforms and governance protocols.
Demonstrated skills in PySpark, Python, SQL, and Power BI for data processing.
Experience with CI/CD practices using GitHub, Terraform, and Azure DevOps.
Strong knowledge of cloud security guidelines and compliance frameworks.
Ability to collaborate across IT, business, and AI/analytics departments.
Market check
Salary context
This
$143,000–$185,000
range sits above
22%
of similar postings on FindRole.
Peer median band
$143,000–$243,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$165,000–$215,125
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Thermo Fisher
Thermo Fisher Scientific is the world leader in serving science, providing analytical instruments, equipment, reagents, consumables, software, and services for life sciences research, pharmaceutical manufacturing, and diagnostics. Industry: Life Sciences & Laboratory Equipment
Thermo Fisher currently has
11 open roles
on FindRole.
Listed pay typically runs
$143,000–$185,000
across 7 roles with salary data.