
11 - 50 employees
🏢 Enterprise
☁️ SaaS
🤝 B2B
Enterprise • SaaS • B2B
Scicom Infrastructure Services is an industry-leading technology consulting and services organization. The company is focused on delivering high-quality, reliable, and cost-effective technology solutions to support the business objectives of leading private and public sector organizations. Scicom provides a range of services including enterprise performance management, managed services, enterprise architecture, project management, infrastructure management, and application management. They collaborate with companies like AppDynamics, BigPanda, DataDog, and AWS for business and application performance, event correlation and automation, enterprise monitoring, cloud monitoring, and ITSM solutions. Scicom offers global, 24/7 operational support and is recognized for its ability to support global infrastructure effectively. The company has been named one of the fastest-growing private companies in America by Inc 5000 in multiple years.
🔥 5 minutes ago
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11 - 50 employees
🏢 Enterprise
☁️ SaaS
🤝 B2B
Enterprise • SaaS • B2B
Scicom Infrastructure Services is an industry-leading technology consulting and services organization. The company is focused on delivering high-quality, reliable, and cost-effective technology solutions to support the business objectives of leading private and public sector organizations. Scicom provides a range of services including enterprise performance management, managed services, enterprise architecture, project management, infrastructure management, and application management. They collaborate with companies like AppDynamics, BigPanda, DataDog, and AWS for business and application performance, event correlation and automation, enterprise monitoring, cloud monitoring, and ITSM solutions. Scicom offers global, 24/7 operational support and is recognized for its ability to support global infrastructure effectively. The company has been named one of the fastest-growing private companies in America by Inc 5000 in multiple years.
• Monitor and analyze Databricks and cloud spending across workspaces, projects, teams, environments, and workloads. • Track Databricks compute usage, SQL warehouses, jobs, storage, networking, and related cloud services. • Identify idle, oversized, underutilized, or inefficient resources. • Recommend improvements involving cluster sizing, autoscaling, job scheduling, serverless compute, storage, and workload design. • Develop monthly, quarterly, and annual budgets and forecasts. • Compare actual costs against budgets and investigate significant variances. • Create cost-allocation models by client, project, contract, cost center, team, or data product. • Support showback, chargeback, tagging, and resource-ownership standards. • Build dashboards and reports covering spend, trends, forecasts, anomalies, savings, and commitment utilization. • Configure budgets, thresholds, alerts, and financial guardrails. • Review Databricks and cloud invoices for accuracy and reconcile charges against usage and contract terms. • Evaluate reserved capacity, savings plans, committed-use discounts, and enterprise agreements. • Maintain a register of optimization opportunities and track realized savings. • Provide financial estimates for new workloads, migrations, proposals, and architectural changes. • Help technical teams understand the financial impact of platform and engineering decisions. • Support development of FinOps policies, procedures, and cost-aware engineering practices.
• Bachelor’s degree in finance, accounting, business, information technology, data analytics, or a related field. • At least five years of experience in FinOps, cloud financial management, technology finance, or cloud cost optimization. • Experience analyzing Databricks or other cloud data-platform costs. • Experience with Azure, AWS, or Google Cloud pricing, billing, and cost-management tools. • Strong knowledge of budgeting, forecasting, variance analysis, cost allocation, and optimization. • Experience with showback, chargeback, tagging, invoice reconciliation, and commitment management. • Strong Excel or financial-modeling skills. • Ability to translate technical usage data into clear financial recommendations. • Strong analytical, communication, reporting, and stakeholder-management skills. • FinOps Certified Practitioner or FinOps Certified Professional. • Hands-on experience with Databricks billing data, system tables, cluster policies, SQL warehouses, and serverless compute. • Experience with Azure Cost Management, AWS Cost Explorer, Google Cloud Billing, Cloudability, CloudHealth, Flexera, Finout, or similar tools. • Experience with Power BI, Tableau, SQL, Python, or Databricks SQL. • Familiarity with data engineering, Apache Spark, Delta Lake, Terraform, and infrastructure as code. • Experience supporting large enterprise, consulting, government, or regulated programs. • Cloud or Databricks certification.
• health insurance • retirement plans • professional development • flexible work arrangements
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