Senior Platform Engineer - Data & Analytics Platforms

Accountabilities

• Data and Analytics Platform Engineering: Design, build, configure, and support enterprise platform capabilities across Snowflake, Microsoft Fabric, Azure, Power BI, and related services.

• Snowflake Administration: Engineer and manage Snowflake databases, schemas, roles, grants, warehouses, resource monitors, tasks, streams, secure data sharing, marketplace patterns, and workload management controls.

• Reusable Platform Capabilities: Develop standardized patterns for platform onboarding, access management, data publishing and consumption, environment configuration, workload isolation, and governed data sharing across business units.

• Performance and Cost Optimization: Improve Snowflake performance and operational efficiency through query analysis, warehouse sizing, workload monitoring, resource management, usage analysis, and FinOps practices.

• Automation and Deployment: Build and maintain automation scripts, CI/CD pipelines, Infrastructure as Code, templates, and repeatable deployment processes to reduce manual administration and improve consistency.

• Azure Platform Administration: Support cloud services and integrations, including identity management, networking, private connectivity, monitoring, security controls, and production configuration.

• Microsoft Fabric and Power BI Enablement: Administer and support platform capabilities, including capacity and workspace management, connectivity, governance, monitoring, operational readiness, and adoption.

• Security and Governance: Integrate access controls, auditability, data quality, observability, security, and cost-management practices directly into platform services and engineering standards.

• Production Operations and Reliability: Maintain platform health through monitoring, alerting, incident response, root cause analysis, runbooks, resilience planning, service ownership, and continuous improvement.

• Cross-Functional Collaboration: Partner with data engineering, architecture, security, cloud, governance, operations, product, and business teams to deliver secure, reliable, and maintainable platform solutions.

• Platform Strategy and Modernization: Contribute to roadmaps and technical standards by identifying opportunities to modernize services, improve user experience, enable governed self-service, and support advanced analytics and AI use cases.

Requirements

• Experience in platform engineering, data platform engineering, cloud engineering, infrastructure engineering, or a DevOps-focused role.

• Hands-on experience engineering, administering, or operating Snowflake in an enterprise environment.

• Strong knowledge of Snowflake architecture and capabilities, including roles and grants, databases, schemas, warehouses, resource monitors, tasks, streams, data sharing, marketplace patterns, cloning, security controls, and workload management.

• Experience implementing Snowflake security and governance practices, including role-based access control, secure sharing, masking or access policies, auditability, and controlled access to sensitive information.

• Demonstrated ability to optimize Snowflake performance, reliability, and cost through query analysis, warehouse sizing, workload monitoring, and operational tuning.

• Experience administering or engineering Microsoft Azure services, including identity integration, networking, private connectivity, monitoring, and production support.

• Familiarity with Microsoft Fabric, Power BI, or comparable analytics platforms, including administration, governance, capacity or workspace management, and operational support.

• Practical 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, business intelligence, analytics, IT service management, and monitoring tools.

• Experience supporting production platforms through observability, incident management, root cause analysis, runbooks, resilience practices, and ongoing service improvement.

• Proficiency in SQL and at least one programming or scripting language used in platform engineering, such as Python, PowerShell, Java, or Scala.

• Strong analytical and troubleshooting skills, with the ability to assess complex technical challenges and develop scalable, maintainable solutions.

• Effective communication and collaboration skills, including the ability to explain technical decisions and work across engineering, architecture, security, governance, operations, vendor, and business-facing teams.

• Ability to work in the United States without requiring current or future employment visa sponsorship.

Benefits

• Competitive Salary: Annual base salary ranges depend on work location:

  • Downstate New York: $122,000–$143,000.

  • Massachusetts: $114,000–$134,000.

  • Upstate New York: $102,000–$119,000.

  • Hybrid Work Flexibility: A hybrid working model within the service territory, with the flexibility to work remotely or from the office as needed.

  • Flexible Scheduling: A flexible work schedule designed to support collaboration and individual working needs.

  • Comprehensive Benefits: Access to a broad employee benefits package designed to support well-being and work-life balance.

  • Collaborative Culture: Work in a team-oriented technology environment that encourages knowledge sharing, innovation, and cross-functional collaboration.

  • Career Development: A defined career path with opportunities for advancement as you develop your technical expertise and take on greater responsibilities.

  • Meaningful Technical Impact: Help modernize enterprise data platforms and enable secure, efficient analytics and AI-driven solutions.