Data Infrastructure Architect

Rootshell Enterprise Technologies•Boston, MA

1d•Onsite

About The Position

Rootshell Enterprise Technologies Inc. is seeking a Data Infrastructure Architect for a client. This hands-on role manages and optimizes cloud resources, data warehousing, automation, DevOps, and the infrastructure that supports business intelligence initiatives. The position involves work across cloud and on-premise systems, including infrastructure supporting data platforms, BI tools, and Kubernetes workloads.

Requirements

Proven experience managing cloud infrastructure, preferably in Microsoft Azure and Google Cloud Platform environments.
Strong experience with Snowflake, BigQuery, and other data warehousing solutions.
Hands-on experience with Ansible, CI/CD pipelines, and Kubernetes.
Expertise in managing and optimizing BI tools such as Tableau and Qlik.
Knowledge of Infrastructure as Code principles and tools.
Strong troubleshooting and server administration skills.
Experience with monitoring and optimization tools for cloud and on-premise infrastructure.

Responsibilities

Manage and optimize resources on Microsoft Azure and Google Cloud Platform, ensuring cloud services are highly available, performant, and secure.
Design and manage data models in Snowflake and BigQuery for business intelligence and analytics.
Implement data governance, security, and compliance best practices for Snowflake and other cloud-based data platforms.
Develop and maintain Ansible scripts for configuration management and automation.
Implement and maintain CI/CD pipelines for reliable software deployments across environments, including pipelines for Kubernetes workloads.
Oversee infrastructure supporting Tableau and Qlik, and integrate BI tools with data sources for seamless data flow and real-time analytics.
Manage BI tool user access and licenses in accordance with organizational policies and cost-efficiency goals.
Provide training and support to improve BI tool adoption and user proficiency.
Promote Infrastructure as Code principles to manage and provision infrastructure resources consistently and repeatably.
Troubleshoot and resolve server and infrastructure issues to minimize downtime.
Implement and manage monitoring solutions for system health, performance, and availability.
Optimize cloud and on-premise infrastructure for cost-efficiency and performance.
Support integration, deployment, and scaling of containerized applications in Kubernetes environments.