ALOIS Solutions
Lead Data Platform Architect – AWS / Snowflake
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Platform Architect – AWS / Snowflake, offering a competitive W2 pay rate. The contract is remote for 15+ years of experience in Data Engineering, preferably in insurance, with expertise in AWS, SQL, Python, and real-time streaming.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
560
-
🗓️ - Date
February 11, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#DataOps #Python #Leadership #Vault #VPC (Virtual Private Cloud) #AWS S3 (Amazon Simple Storage Service) #Athena #PySpark #Redshift #DevOps #Spark (Apache Spark) #Data Security #Data Vault #Data Architecture #Data Engineering #S3 (Amazon Simple Storage Service) #Splunk #Observability #Scala #Security #"ETL (Extract #Transform #Load)" #AWS Glue #Talend #Monitoring #Metadata #Code Reviews #ML (Machine Learning) #SQL (Structured Query Language) #AWS (Amazon Web Services) #Data Pipeline #Data Science #Compliance #IAM (Identity and Access Management) #Data Modeling #Kafka (Apache Kafka) #dbt (data build tool) #Cloud #Strategy #Snowflake
Role description
🚀 Hiring: Full Stack Senior Data Engineer (Principal-Level)
📍 Location: Remote (United States)
💼 Experience: 15+ Years (Must Have)
🏢 Industry: [Insurance Preferred]
💰 Competitive Compensation (W2 Only)
We are looking for a visio nary Senior Full Stack Data Engineer to lead the architecture and evolution of a next-generation cloud-native data platform. This is a high-impact, hands-on leadership role for someone who thrives in designing scalable, secure, and high-performance data ecosystems.
If you’ve built petabyte-scale data platforms and enjoy driving both architecture and execution — this role is for you.
🔥 What You’ll Do
🏗 Platform Strategy & Technical Leadership
• Define and drive the architectural roadmap for end-to-end data pipelines
• Lead best practices across scalability, reliability, and security
• Mentor engineers, conduct code reviews, and accelerate project velocity
• Partner with Data Scientists, ML Engineers, and business stakeholders to deliver production-ready solutions
🔄 Data Pipeline Engineering
• Build high-volume ingestion & transformation pipelines (dbt Core, AWS Glue, Talend)
• Design modular, reusable workflows (Dagster / Talend)
• Implement real-time streaming pipelines (Kinesis / Confluent / Kafka)
• Ensure data security, anonymization, and regulatory compliance
• Apply strong DataOps and DevOps fundamentals
🧊 Lakehouse & Ecosystem Optimization
• Implement Iceberg open table format & manage schema evolution
• Optimize Snowflake, Redshift, and Athena for performance & cost efficiency
• Integrate observability & monitoring (Splunk)
• Manage metadata & AWS Glue Catalog
🎯 What We’re Looking For
• 15+ years of progressive Data Engineering / Data Architecture experience
• Deep expertise in AWS (S3, IAM, VPC, Redshift, Athena)
• Strong SQL, Python & PySpark
• Experience building petabyte-scale cloud-native data platforms
• Strong understanding of data modeling (Dimensional, Data Vault)
• Experience with Iceberg, dbt Core, Talend, Snowflake
• Real-time streaming experience (Kinesis / Kafka / Confluent)
• Proven technical leadership & mentorship experience
• Insurance domain experience is a plus
💡 Why Join?
• Architect and lead a modern lakehouse platform
• High visibility and ownership
• Work with cutting-edge open table formats & streaming technologies
• Drive impact across Data Science & Business teams
🚀 Hiring: Full Stack Senior Data Engineer (Principal-Level)
📍 Location: Remote (United States)
💼 Experience: 15+ Years (Must Have)
🏢 Industry: [Insurance Preferred]
💰 Competitive Compensation (W2 Only)
We are looking for a visio nary Senior Full Stack Data Engineer to lead the architecture and evolution of a next-generation cloud-native data platform. This is a high-impact, hands-on leadership role for someone who thrives in designing scalable, secure, and high-performance data ecosystems.
If you’ve built petabyte-scale data platforms and enjoy driving both architecture and execution — this role is for you.
🔥 What You’ll Do
🏗 Platform Strategy & Technical Leadership
• Define and drive the architectural roadmap for end-to-end data pipelines
• Lead best practices across scalability, reliability, and security
• Mentor engineers, conduct code reviews, and accelerate project velocity
• Partner with Data Scientists, ML Engineers, and business stakeholders to deliver production-ready solutions
🔄 Data Pipeline Engineering
• Build high-volume ingestion & transformation pipelines (dbt Core, AWS Glue, Talend)
• Design modular, reusable workflows (Dagster / Talend)
• Implement real-time streaming pipelines (Kinesis / Confluent / Kafka)
• Ensure data security, anonymization, and regulatory compliance
• Apply strong DataOps and DevOps fundamentals
🧊 Lakehouse & Ecosystem Optimization
• Implement Iceberg open table format & manage schema evolution
• Optimize Snowflake, Redshift, and Athena for performance & cost efficiency
• Integrate observability & monitoring (Splunk)
• Manage metadata & AWS Glue Catalog
🎯 What We’re Looking For
• 15+ years of progressive Data Engineering / Data Architecture experience
• Deep expertise in AWS (S3, IAM, VPC, Redshift, Athena)
• Strong SQL, Python & PySpark
• Experience building petabyte-scale cloud-native data platforms
• Strong understanding of data modeling (Dimensional, Data Vault)
• Experience with Iceberg, dbt Core, Talend, Snowflake
• Real-time streaming experience (Kinesis / Kafka / Confluent)
• Proven technical leadership & mentorship experience
• Insurance domain experience is a plus
💡 Why Join?
• Architect and lead a modern lakehouse platform
• High visibility and ownership
• Work with cutting-edge open table formats & streaming technologies
• Drive impact across Data Science & Business teams
