scicominfrastructureservices

Position Summary Scicom Infrastructure Services is seeking a Databricks Data Operations Specialist to support the operational stability, reliability, performance, and security of a large-scale Databricks data platform. This role will work as part of a multidisciplinary Databricks team that includes

Position Summary Scicom Infrastructure Services is seeking a Data Engineer / Business Analyst to support a large-scale Databricks implementation. This hybrid role will bridge business, contracting, data-governance, and engineering teams to define business requirements, construct data contracts, map

Position Summary Scicom Infrastructure Services is seeking a part-time Strategic Alliances and Partner Manager to manage and strengthen relationships with our technology and ISV partners, including organizations such as Dynatrace, Datadog, Databricks, BigPanda, SpaceX, and other strategic technology

Position Summary Scicom Infrastructure Services is seeking an experienced Databricks Practice Lead / Engineering Manager to provide hands-on technical leadership while managing a team of data engineers, architects, and consultants supporting complex enterprise and government programs. This role requ

Position Summary Scicom Infrastructure Services is seeking a FinOps Specialist to manage cost visibility, forecasting, financial governance, and optimization for a large-scale Databricks and cloud data platform. This role will partner with engineering, operations, finance, procurement, and program l

Position Summary We are seeking a highly experienced Principal Observability Architect to lead the design, implementation, modernization, and optimization of enterprise-scale observability and analytics platforms. This role will serve as the technical authority for log management, observability engi

Key Responsibilities: Architecture & Platform Design Design enterprise Databricks Lakehouse architectures aligned with the Databricks Well-Architected Framework Define reference architectures for batch, streaming, analytics, and ML workloads Select and standardize cluster, compute, and workspace arc