Blueprint Technologies
Senior Azure Data and Platform Engineer
Blueprint Technologies, Redmond, Washington, United States, 98052
Overview
Who is Blueprint?
We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. What does Blueprint do?
Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. Why Blueprint?
At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team, or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and cross-functional teams, such as data science, engineering, and product development—all while learning, growing, and building scalable data solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. In This Role
In this role, you will serve as a
Senior Data & Platform Engineer
within an enterprise engineering team focused on building next-generation data platforms, prototypes, and distributed systems. You will design and optimize high-scale architectures, drive technical strategy, and solve complex data challenges that enable business-critical decision making. This position is hands-on with a strong emphasis on innovation, data quality, and platform reliability, requiring deep expertise in Python, Kusto, and Azure Synapse to manage, engineer, and maintain high-volume analytical environments. Key Responsibilities
Architect and Develop Solutions:
Design end-to-end data architectures involving software, infrastructure, communications, and integrations to support future scalability and cross-functional enterprise needs.
Build and Optimize Data Pipelines:
Create highly available data pipelines and services working with billions of records, with focus on performance, reliability, and automated monitoring.
Data Governance & Quality:
Conduct data validation, cleansing, and troubleshooting to address inaccuracies, misalignments, and provide engineered solutions for data hygiene.
Platform Management:
Maintain common views, Kusto functions, analytical environments, and ensure compliance with technical standards and enterprise architecture guidelines.
Technical Leadership:
Provide mentorship, technical guidance, and daily direction to engineering staff; develop coding patterns and best practices to drive platform excellence.
Monitoring & Observability:
Develop monitoring, logging, and alerting frameworks to proactively detect and resolve platform issues before they impact downstream systems.
Operational Excellence:
Evaluate workflows and system performance, identify inefficiencies, and implement corrective actions to improve platform stability and development velocity.
Sprint Delivery:
Collaborate in Agile ceremonies, manage tasks in ADO, and consistently meet sprint commitments and delivery timelines.
Required Qualifications
Experience:
8–10 years in data engineering, platform engineering, or database architecture roles.
Technical Expertise: Advanced proficiency in
Python
(data engineering, automation, pipeline orchestration).
Deep experience with
Azure Synapse ,
Azure Log Analytics , and
Kusto Query Language (KQL) .
Strong SQL development skills and experience in large-scale data pipeline architecture.
Education:
Bachelor’s degree in Computer Science, Engineering, or a related technical field (required). Master’s degree or MBA preferred.
Delivery Experience:
Proven track record in building custom data solutions, designing enterprise architecture, and technical leadership across full development cycles.
Onsite Requirement:
Must be willing to work 5 days onsite due to the nature of infrastructure and environment access.
Preferred Qualifications
Experience deploying distributed analytics platforms in regulated or mission-critical environments.
Familiarity with visualization and monitoring tools such as
Power BI, Grafana , or
Dynamics-based dashboards .
Prior leadership overseeing technical architecture decisions, vendor tool evaluations, and scalable data services.
Experience building production-grade prototypes using both front-end and back-end technologies.
Strong understanding of compliance frameworks and enterprise infrastructure standards.
Advanced problem-solving skills across data infrastructure, communication interfaces, and system integrations.
What Makes This Opportunity Unique
Ability to work on
high-impact engineering challenges
involving large-scale, mission-critical data environments.
Direct involvement in creating
innovative prototypes and modern data services
with real-world operational impact.
Opportunity to shape platform strategy and influence enterprise engineering direction.
Work in a
hands-on, innovation-focused environment
with minimal meetings and maximum technical autonomy (90% build time).
Salary Range
Pay ranges vary based on multiple factors, including—but not limited to—skill sets, education, responsibilities, experience, and geographical market. The pay range for this position reflects geographic-based ranges for Washington state:
$140,000 to $160,000 USD annually . The final salary/wage and job title for this opening will be determined based on the selected candidate’s qualifications and experience and may fall outside this range. Equal Opportunity Employer
Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please contact:
recruiting@bpcs.com Our Benefits
Blueprint believes in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: Medical, dental, and vision coverage
Flexible Spending Account
401(k) program
Competitive PTO offerings
Parental Leave
Opportunities for professional growth and development
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Who is Blueprint?
We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. What does Blueprint do?
Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. Why Blueprint?
At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team, or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and cross-functional teams, such as data science, engineering, and product development—all while learning, growing, and building scalable data solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. In This Role
In this role, you will serve as a
Senior Data & Platform Engineer
within an enterprise engineering team focused on building next-generation data platforms, prototypes, and distributed systems. You will design and optimize high-scale architectures, drive technical strategy, and solve complex data challenges that enable business-critical decision making. This position is hands-on with a strong emphasis on innovation, data quality, and platform reliability, requiring deep expertise in Python, Kusto, and Azure Synapse to manage, engineer, and maintain high-volume analytical environments. Key Responsibilities
Architect and Develop Solutions:
Design end-to-end data architectures involving software, infrastructure, communications, and integrations to support future scalability and cross-functional enterprise needs.
Build and Optimize Data Pipelines:
Create highly available data pipelines and services working with billions of records, with focus on performance, reliability, and automated monitoring.
Data Governance & Quality:
Conduct data validation, cleansing, and troubleshooting to address inaccuracies, misalignments, and provide engineered solutions for data hygiene.
Platform Management:
Maintain common views, Kusto functions, analytical environments, and ensure compliance with technical standards and enterprise architecture guidelines.
Technical Leadership:
Provide mentorship, technical guidance, and daily direction to engineering staff; develop coding patterns and best practices to drive platform excellence.
Monitoring & Observability:
Develop monitoring, logging, and alerting frameworks to proactively detect and resolve platform issues before they impact downstream systems.
Operational Excellence:
Evaluate workflows and system performance, identify inefficiencies, and implement corrective actions to improve platform stability and development velocity.
Sprint Delivery:
Collaborate in Agile ceremonies, manage tasks in ADO, and consistently meet sprint commitments and delivery timelines.
Required Qualifications
Experience:
8–10 years in data engineering, platform engineering, or database architecture roles.
Technical Expertise: Advanced proficiency in
Python
(data engineering, automation, pipeline orchestration).
Deep experience with
Azure Synapse ,
Azure Log Analytics , and
Kusto Query Language (KQL) .
Strong SQL development skills and experience in large-scale data pipeline architecture.
Education:
Bachelor’s degree in Computer Science, Engineering, or a related technical field (required). Master’s degree or MBA preferred.
Delivery Experience:
Proven track record in building custom data solutions, designing enterprise architecture, and technical leadership across full development cycles.
Onsite Requirement:
Must be willing to work 5 days onsite due to the nature of infrastructure and environment access.
Preferred Qualifications
Experience deploying distributed analytics platforms in regulated or mission-critical environments.
Familiarity with visualization and monitoring tools such as
Power BI, Grafana , or
Dynamics-based dashboards .
Prior leadership overseeing technical architecture decisions, vendor tool evaluations, and scalable data services.
Experience building production-grade prototypes using both front-end and back-end technologies.
Strong understanding of compliance frameworks and enterprise infrastructure standards.
Advanced problem-solving skills across data infrastructure, communication interfaces, and system integrations.
What Makes This Opportunity Unique
Ability to work on
high-impact engineering challenges
involving large-scale, mission-critical data environments.
Direct involvement in creating
innovative prototypes and modern data services
with real-world operational impact.
Opportunity to shape platform strategy and influence enterprise engineering direction.
Work in a
hands-on, innovation-focused environment
with minimal meetings and maximum technical autonomy (90% build time).
Salary Range
Pay ranges vary based on multiple factors, including—but not limited to—skill sets, education, responsibilities, experience, and geographical market. The pay range for this position reflects geographic-based ranges for Washington state:
$140,000 to $160,000 USD annually . The final salary/wage and job title for this opening will be determined based on the selected candidate’s qualifications and experience and may fall outside this range. Equal Opportunity Employer
Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please contact:
recruiting@bpcs.com Our Benefits
Blueprint believes in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: Medical, dental, and vision coverage
Flexible Spending Account
401(k) program
Competitive PTO offerings
Parental Leave
Opportunities for professional growth and development
#J-18808-Ljbffr