Senior Data Platform Engineer – Snowflake & Azure

National Grid; New York (NY); Hybrid; USD 102,000 - 143,000; Full time

Benefits offered by this job

Hybrid work model

Flexible work schedule

Job summary

National Grid is seeking a Senior Platform Engineer to design, build, and operate enterprise data and analytics platform capabilities across Snowflake, Azure, and Microsoft Fabric. You will develop self-service patterns, governance, and cost controls to support AI-enabled workloads.

You will collaborate with data engineering, security, and governance teams to translate requirements into secure, scalable platform solutions while driving automation, IaC, and CI/CD practices across the stack.

Qualifications

• Experience in platform engineering, data platform engineering, cloud engineering, infrastructure engineering, or a DevOps-oriented role.
• Hands-on experience engineering, administering, or operating Snowflake in an enterprise environment.
• Strong understanding of Snowflake concepts including roles and grants, databases and schemas, warehouses, resource monitors, tasks and streams, data sharing, marketplace patterns, cloning, security controls, and workload management.
• Experience with Snowflake security and governance patterns, including role-based access control, secure sharing, masking or access policies, auditability, and controlled access to sensitive data.
• Experience administering or engineering Microsoft Azure services, including identity integration, networking, private connectivity, monitoring, and production support considerations.
• Experience with Microsoft Fabric, Power BI, or similar analytics platforms, including platform administration, governance, capacity or workspace management, and operational support.
• Hands-on experience with automation, CI/CD, Infrastructure-as-Code, version control, testing, documentation, and repeatable deployment practices.
• Experience integrating data platforms with ingestion, transformation, orchestration, catalog, BI, analytics, IT service management, and monitoring tools.
• Experience supporting production platforms with observability, incident response, root cause analysis, runbooks, resilience, and continuous improvement.
• Proficiency in SQL and at least one programming or scripting language used in platform engineering, such as Python, PowerShell, Java, Scala, or similar.
• Ability to collaborate across engineering, architecture, security, governance, operations, vendor, and business-facing teams and communicate technical decisions clearly.

Responsibilities

• Design, build, configure, and support enterprise data and analytics platform capabilities across Snowflake, Microsoft Fabric, Azure, Power BI, and associated services.
• Engineer and administer Snowflake capabilities including databases, schemas, roles, grants, warehouses, resource monitors, tasks, streams, secure data sharing, marketplace patterns, workload management, and operational controls.
• Develop reusable Snowflake patterns for onboarding, access management, data publication and consumption, workload isolation, environment configuration, and governed cross-business-unit data sharing.
• Improve Snowflake performance and cost efficiency through query analysis, warehouse design, monitoring, resource management, usage analysis, and FinOps practices.
• Build and maintain platform automation, CI/CD pipelines, Infrastructure-as-Code, scripts, templates, and repeatable deployment patterns that reduce manual or ticket-driven administration.
• Support Azure administration and platform integration, including identity, networking, private connectivity, monitoring, security alignment, and configuration of cloud services used by data platforms.
• Support Microsoft Fabric and Power BI platform capabilities, including capacity and workspace administration, connectivity, governance controls, monitoring, operational readiness, and adoption patterns.
• Embed governance, security, auditability, data quality, observability, and cost-management controls directly into platform capabilities and engineering patterns.
• Support production services through monitoring, alerting, incident response, root cause analysis, runbooks, service ownership, resilience planning, and continuous improvement.
• Partner with data engineering, architecture, security, cloud, governance, operations, product, and business-aligned teams to translate requirements into secure and supportable platform solutions.
• Contribute to platform roadmaps and standards by identifying opportunities to modernize services, improve developer and consumer experience, enable governed self-service, and support advanced analytics and AI-enabled use cases.

Skills

SQL

Python

DevOps

Collaboration

Communication

Tools

Snowflake

Azure

Microsoft Fabric

Power BI

IaC

Job description

National Grid is seeking a Senior Platform Engineer to design, build, and operate enterprise data and analytics platform capabilities across Snowflake, Azure, and Microsoft Fabric. You will develop self-service patterns, governance, and cost controls to support AI-enabled workloads.

You will collaborate with data engineering, security, and governance teams to translate requirements into secure, scalable platform solutions while driving automation, IaC, and CI/CD practices across the stack.