Senior Snowflake / Data Platform Architect

This is a remote position.

Position Overview

We are looking for a Senior Snowflake / Data Platform Architect with deep hands-on expertise in Snowflake and AWS to lead the design, build, and optimization of our modern data platform.

In this role, you will combine strong architectural capabilities with practical, hands-on experience in platform performance tuning, cost optimization (FinOps), robust security and governance, and infrastructure automation. You will play a pivotal role in driving our data architecture strategy, establishing CI/CD and GitOps practices, and enabling secure, scalable data integration and delivery across the enterprise.

Key Responsibilities

• Architecture & Strategy:
  
• Design, architect, and optimize enterprise-grade modern data platform solutions leveraging Snowflake and AWS.
  
• Establish architectural standards, patterns, and best practices for modern data modeling, platform scalability, and reliability.
  
• Performance & FinOps (Cost Optimization):
  
• Proactively monitor, optimize, and fine-tune Snowflake compute/warehouse configurations and query performance.
  
• Implement FinOps frameworks to monitor, manage, and optimize cloud consumption costs across Snowflake and AWS infrastructure.
  
• Security, Governance & Observability:
  
• Define and enforce data governance strategies, including Role-Based Access Control (RBAC), data masking, dynamic column-level security, and secure Data Sharing.
  
• Implement comprehensive platform observability and logging to monitor data quality, pipeline health, and platform performance.
  
• Platform Automation & DevOps/GitOps:
  
• Drive platform infrastructure-as-code (IaC) using Terraform.
  
• Establish modern CI/CD pipelines and GitOps workflows for data modeling and infrastructure deployments via GitHub.
  
• Data Engineering & Integration:
  
• Oversee and optimize batch and real-time streaming data pipelines utilizing Apache Airflow, Apache NiFi, Kafka, and dbt.
  
• Enable seamless data access and integration for analytics tools such as Power BI.
  

Requirements

Key Requirements & Qualifications

• Experience: 8+ years of progressive experience in Data Engineering / Architecture, with a focus as a Lead or Senior Architect designing end-to-end cloud data platforms.
  
• Snowflake Expertise: Advanced, hands-on mastery of Snowflake architecture (Virtual Warehouses, Secure Data Sharing, Dynamic Data Masking, RBAC, Snowpipe, Time Travel, Micro-partitioning optimization).
  
• Cloud Infrastructure (AWS): Strong expertise in the AWS ecosystem, specifically S3 storage, IAM, compute, and cloud networking/security fundamentals.
  
• Infrastructure as Code & DevOps: Hands-on experience with Terraform, GitHub, CI/CD automation, and GitOps methodologies.
  
• Data Transformation & Orchestration: Proficient with dbt for transformation and modeling, alongside orchestration tools like Apache Airflow and Apache NiFi.
  
• Streaming & Data Integration: Familiarity with real-time streaming tools like Apache Kafka.
  
• Analytics & Visualization: Knowledge of BI tool integration, particularly Power BI.
  
• Governance & FinOps Mindset: Proven track record in cost governance/FinOps management for cloud resources, robust RBAC enforcement, and enterprise data observability.
  

Key Technologies

• Cloud & Data Warehouse: Snowflake, AWS (S3)
  
• Infrastructure & Automation: Terraform, GitHub, CI/CD, GitOps
  
• Data Transformation & Pipelines: dbt, Apache Airflow, Apache NiFi, Kafka
  
• Security & Governance: RBAC, Data Sharing, Dynamic Data Masking, FinOps, Observability
  
• Analytics / BI: Power BI