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Open nowPosted yesterday

Senior Snowflake / Data Platform Architect

KData Inc.30 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowSenior Snowflake / Data Platform ArchitectKData Inc. · Remote

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Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted yesterday

The posting

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

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