Senior Level Technology Leadership, Now Available As a Service
Cloud transformation is on the short list of to-dos for nearly every organization, but many customers struggle to find or afford a full-time leader to help plan and tackle complex migration, modernization, analytics, and data science projects.
Technology Leadership as a Service is a new way to engage with NorthBay’s senior-most technical experts to get the strategic guidance and close collaboration of an in-house leader, without the need to hire a full-time employee.
A select few of our senior Solutions Architects and Data Scientists are available to provide virtual advisory help, assume the role of fractional or interim leader for as long as needed, or lead a high-stakes initiative. This new offering is purpose-built to help organizations accelerate strategic planning and overcome the staffing shortages, skills shortcomings, headcount limitations and budget challenges that can compromise or slow down success.
Flexible Terms
Get access to a dedicated leader for 20, 30, or 40 hours per week for 30 days, 60 days, or longer as needed.
Immediate Impact
See results faster with a proven expert who can deliver value starting on day one.
Faster ROI
Defer the high costs of recruiting and compensating permanent employees.
How Technology Leadership as a Service Works
Get on-demand access to in-demand talent for far less than than the cost of not moving priority projects forward. NorthBay provides a named virtual leader for daily guidance and collaboration, who is backed by our global team of engineers certified in multiple sophisticated AWS technology solutions.
Solution Architects
Areas of Expertise
Migrating on-premises infrastructure, data, and applications to the AWS cloud using the proven NorthBay cloud migration framework.
SQL
No SQL
SAP
Oracle
VMware
Most Requested Project
Cloud Migration Planning
- Conduct a Cloud Workload Migration Assessment and/or Feasibility Studies.
- Devise an AWS cloud migration strategy for specific workloads that require advanced planning to ensure they operate with maximum efficiency, security, and reliability.
- Develop a reference architecture and architectural roadmap for the identified workloads with a prioritized action plan
- Optimizing performance by moving a portion of a structured database to an AWS NoSQL service (DynamoDB, ElastiCache)
Areas of Expertise
- Evaluating and prioritizing opportunities to re-architect, rewrite or re-purpose legacy application and data workloads to a native AWS Cloud platform.
- Modernizing monolithic applications using a microservices-based approach.
Most Requested Project
Modernization Strategy and Roadmap
- Developing a plan for building or rebuilding applications using containers.
Areas of Expertise
- Designing AWS-enabled data lakes and analytics for optimizing operations and driving innovation.
- Developing analytics workloads to translate data into insight and action.
- Ensuring business operations run smoothly with minimal downtime during migration.
Most Requested Projects
Data Lake and Analytics
- Reviewing business requirements and legacy data warehouse environment to make a Data Mesh vs. Data Lake decision and designing the future Insights architecture.
- Designing Data Lake architecture and conducting POCs to identify feasibility of future platform services to minimize upcoming project risk.
- Design ETL plan to add a new data source to the existing AWS Aurora platform.
Data Assessments
Assessing the feasibility of:
- Moving an existing Redis or MongoDB database to an AWS managed service
- Optimizing performance by moving a portion of a structured database to an AWS NoSQL service (DynamoDB, ElastiCache)
Data Scientists
Areas of Expertise
- Planning, building, and deploying AI/ML-based big data and big data analytics use cases for big data and big data analytics.
- Leveraging MLOps, which provides common machine learning algorithms that are optimized to run efficiently against extremely large data in a distributed environment.
Most Requested Project
AI/ML Solution Development
- Leverage the power of AI/ML to enhance data-driven decision making, increase productivity, and solve old problems in new ways.
