Cloud Azure Tools Specialist
Kforce has a client in Tampa, FL that is seeking a Cloud Azure Tools Specialist. Responsibilities:
- Manages and optimizes data, analytics, and innovation toolsets in a cloud environment
- Leads requirements gathering, evaluation, and implementation of tools supporting business needs
- Drives adoption, utilization, and best practices across the organization
- Partners with stakeholders to align tools with business processes and outcomes
- Acts as a key resource to understand user needs and recommend improvements
- Identify and support tool adoption and usage needs across the organization
- Collaborate with InfoSec, Infrastructure, and Compliance to manage user access, roles, and security policies
- Standardize and improve tool user experience and design consistency
- Configure, maintain, and serve as SME for assigned toolset
- Develop and deliver training materials, documentation, and enablement programs
- Act as liaison to vendors, leading business reviews and influencing product roadmaps
- Recommend enhancements and extensions to maximize tool value and ROI
- Lead RFI/RFP processes, tool evaluation, and implementation efforts
- Support procurement and vendor management, ensuring compliance with security and legal standards
- Evaluate emerging technologies and recommend new tools aligned to business needs
- Monitor adoption, performance, and utilization metrics, providing insights and recommendations
- Partner with SMEs to guide tool selection and cost-effective usage strategies
- Design and execute test cases to validate tool implementations
- Document and manage tool lifecycle (requirements, implementation, support)
- Collaborate with infrastructure and data teams to define cloud storage and compute best practices
- Troubleshoot and resolve advanced incidents and system issues
- Lead tool upgrades, lifecycle management, and continuous improvement initiatives
- Bachelor's degree in Computer Science, Business, Statistics, or related field (or equivalent experience)
- 6+ years of experience in tools administration and support for data-related platforms
- Strong understanding of: data engineering practices and workflows, data cataloging, lineage, and metadata management
- Experience working with cross-functional teams and aligning tools to business processes
- Visualization & Reporting: WebFocus, Sigma, Power BI
- Data Transformation (ETL/ELT): Matillion, Azure Data Factory, DBT
- Data Platforms: Databricks, Snowflake
- Data Catalog & Metadata: Purview, Unity, Horizon, Alation
- AI/ML & Data Science Tools: Dataiku, PyTorch, Azure ML, Databricks AI/ML, Snowflake Cortex AI, TensorFlow, Hex
- Cloud & API Integration: Azure API Management, MuleSoft, Boomi
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