Senior Snowflake / Data Platform Architect

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 (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.

Key Responsibilities

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 & DevOps/GitOps: Drive platform infrastructure-as-code (IaC) using Terraform. Establish modern CI/CD pipelines and Git. Ops 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 Ni. Fi, Kafka, and dbt. Enable seamless data access and integration for analytics tools such as Power BI.

Requirements

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 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.

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