Senior Data Platform Architect

• 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 & Fin Ops (Cost Optimization):
• Proactively monitor, optimize, and fine-tune Snowflake compute/warehouse configurations and query performance.
• Implement Fin Ops 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 & Dev Ops/Git Ops:
• Drive platform infrastructure-as-code (
  IaC
  ) using Terraform
  .
• Establish modern CI/CD pipelines and Git Ops workflows for data modeling and infrastructure deployments via Git Hub
  .
• Oversee and optimize batch and real-time streaming data pipelines utilizing Apache Airflow
  , Apache Ni Fi ,
  Kafka
  , and dbt
  .
• Enable seamless data access and integration for analytics tools such as Power BI
  .

This is a remote position.

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 (Fin Ops), robust security and governance, and infrastructure automation. You will play a pivotal role in driving our data architecture strategy, establishing CI/CD and Git Ops practices, and enabling secure, scalable data integration and delivery across the enterprise.

• 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 & Dev Ops: Hands-on experience with Terraform
  , Git Hub
  , CI/CD automation, and Git Ops methodologies.
• Data Transformation & Orchestration: Proficient with dbt for transformation and modeling, alongside orchestration tools like Apache Airflow and Apache Ni Fi .
• Streaming & Data Integration: Familiarity with real-time streaming tools like Apache Kafka
  .
• Analytics & Visualization: Knowledge of BI tool integration, particularly Power BI
  .
• Governance & Fin Ops Mindset: Proven track record in cost governance/Fin Ops management for cloud resources, robust RBAC enforcement, and enterprise data observability.

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