Amit Banerjee — CEO

With almost 2 decades of experience in cloud services, distributed systems and data management systems, I am a passionate engineering leader who focuses on delivering high-performance, scalable, secure, and compliant platforms for cloud-based solutions. I am responsible for Data, Analytics and AI services and solutions at Nike. I lead a cross functional team responsible for engineering, product and program for the enterprise. In the past, I was the Vice President of Software Engineering at Salesforce. I led engineering for the messaging platform which includes data platform and security for Salesforce Marketing Cloud Engagement, a distributed data estate that supports billions of customer interactions every year. I was responsible for the roadmap, implementation, and execution of the big data services, the data science initiatives, and the security engineering for features like data encryption, industry compliance, encryption at rest, and secret storage. Prior to that, I led Product Management for the database engine for SQL Server, SQL Server on Azure VM, Azure Arc SQL Managed Instance, and Azure SQL Edge, products and services that generate multi-billion dollars in annual revenue for Microsoft. I have also co-authored two books on SQL Server and Azure, and I am an active blogger and speaker at various community events. My mission is to empower customers and businesses with data-driven insights and solutions that help them achieve their goals and grow their potential. I enjoy collaborating with diverse and talented teams, learning new technologies and best practices, and solving complex and challenging problems.

Stackforce AI infers this person is a SaaS and Cloud Computing expert with a focus on data-driven solutions.

Location: Seattle, WA, USA

Experience: 19 yrs 8 mos

Skills

Data And Ai Strategy
Governance And Compliance
Platform Engineering
Big Data Services
Database Engineering
Sql Server Management
Product Management
Database Solutions
Technical Support
Sql Server Expertise

Career Highlights

Led engineering for Salesforce's messaging platform supporting billions of interactions.
Defined global data and AI strategy at Nike for enterprise transformation.
Co-authored two books on SQL Server and Azure, showcasing thought leadership.

Work Experience

Nike

Global Vice President - Data and AI (1 yr 1 mo)

Salesforce

Vice President of Software Engineering (2 yrs 6 mos)

Senior Director of Software Engineering (1 yr 4 mos)

Microsoft

Principal Group Product Manager (5 yrs 9 mos)

Senior Premier Field Engineer (3 yrs 7 mos)

Support Escalation Engineer (5 yrs 4 mos)

Education

B.E. at Manipal Institute of Technology

Amit Banerjee

CEO

Seattle, WA, USA19 yrs 8 mos experience

Highly StableAI Enabled

Key Highlights

Led engineering for Salesforce's messaging platform supporting billions of interactions.
Defined global data and AI strategy at Nike for enterprise transformation.
Co-authored two books on SQL Server and Azure, showcasing thought leadership.

Stackforce AI infers this person is a SaaS and Cloud Computing expert with a focus on data-driven solutions.

Contact

Skills

Core Skills

Data And Ai StrategyGovernance And CompliancePlatform EngineeringBig Data ServicesDatabase EngineeringSql Server ManagementProduct ManagementDatabase SolutionsTechnical SupportSql Server Expertise

Other Skills

.NET.NET FrameworkAI/ML StrategyAdvanced AnalyticsAgile Project ManagementAmazon Web Services (AWS)Artificial Intelligence (AI)Azure SQLBig DataBloggingBusiness IntelligenceBusiness Intelligence (BI)Cloud ComputingClusterCompliance

About

Experience

Nike

Global Vice President - Data and AI

Feb 2025 – Present · 1 yr 1 mo · Seattle, Washington, United States · Hybrid

Lead a large cross functional team of engineers and technical product managers:
Strategic Leadership & Modernization: Define and execute a global data and AI strategy aligned with business objectives, ensuring innovation and scalability. Modernization of Data & AI products and services, aligning with enterprise transformation goals. This includes driving innovation and ensuring that data and AI capabilities deliver measurable business value.
Governance & Risk Management: A major focus is on data governance, privacy, and compliance controls, as well as closing critical risks tied to regulatory and operational exposure. The role is expected to champion frameworks for data quality, accessibility, and lifecycle management across all geographies and functions.
Policy & Standards Oversight: The role involves approving and implementing enterprise-wide data policies and standards—covering governance, stewardship, retention, classification, and access—to reduce compliance risk and improve operational efficiency.
AI/ML Strategy & Enablement: The role is responsible for shaping the AI/ML roadmap, prioritizing use cases with clear business outcomes, and operationalizing generative AI and agent-based solutions. This includes fostering a Center of Excellence approach for awareness, education, and federated delivery.
Technology & Architecture: Oversee the design and modernization of data platforms, AI/ML systems, and MLOps pipelines, ensuring global consistency and performance.
Stakeholder Engagement: Act as a strategic partner to business units, translating data insights into actionable business value and driving adoption of AI solutions.

Data GovernanceAI/ML StrategyRisk ManagementData ArchitectureStakeholder EngagementData and AI Strategy+1

Salesforce

2 roles

Vice President of Software Engineering

Promoted

Aug 2022 – Feb 2025 · 2 yrs 6 mos

I led the messaging platform engineering organization for Salesforce Marketing Cloud Engagement. This is a distributed cloud services environment and data estate that supported 50+ Billion B2C sends during Cyber Week alone.
Being responsible for platform engineering for one of world's most complex and biggest messaging estate supporting a multi-billion dollar Marketing Cloud business for performance, scale, availability, compliance, and security.
Being responsible for the roadmap, implementation and execution of the Big Data services
Being responsible for the Data Science initiatives within the cloud
Being responsible for security engineering for features like data encryption, encryption at rest, secret storage, auditing, SOX/SOC compliance, RBAC and overall security practices for the current organization.
Being responsible for Big Data platform and service engineering for application services to consume and drive digital transformation.
Define technical roadmap as part of long range planning (LRP) process to ensure business success.

Messaging Platform EngineeringBig Data ServicesData Science InitiativesSecurity EngineeringPlatform Engineering

Senior Director of Software Engineering

Apr 2021 – Aug 2022 · 1 yr 4 mos

I led the data platform engineering organization for the Engagement platform for Salesforce Customer 360. This is a distributed data estate that supported over 40+B sends during Cyber Week 2021 alone. This involves being responsible for database engineering for one of world's most complex and biggest SQL Server estate supporting a multi-billion dollar Marketing Cloud business for performance, scale, availability, compliance, and security.

Database EngineeringSQL ServerPerformance TuningComplianceSQL Server Management

Microsoft

3 roles

Principal Group Product Manager

Promoted

Jul 2015 – Apr 2021 · 5 yrs 9 mos

I led Product Management for the database engine for the SQL Server (Windows and Linux), SQL Server on Azure VM, Azure Arc SQL Managed Instance and Azure SQL Edge (IoT database). My team was responsible for the roadmap for these products, technical product management for new releases and enhancements for in-market releases. These products and services were responsible for multi-billion dollars in annual revenue for Microsoft.
Products released: SQL Server 2019, Azure SQL Edge
Product portfolio: SQL Server 2008-2019, Azure SQL Edge, Azure SQL Server VM, Azure Arc for SQL
My past experiences include:
a. Lead for the Customer Success engineering team (Tiger) for Big Data and Advanced Analytics within the Data Group at Microsoft.
b. Technical product management for storage and performance for Microsoft's OSS Cloud Database service: Azure database services for PostgreSQL and MySQL.
c. Technical product management for SQL Server High Availability, Disaster Recovery and Replication

Product ManagementTechnical RoadmapSQL ServerAzure SQLDatabase Solutions

Senior Premier Field Engineer

Promoted

Dec 2011 – Jul 2015 · 3 yrs 7 mos

Premier Field Engineering (PFE) delivers onsite, remote and dedicated support services for Premier customers around the world to promote health in their IT environments. As part of Customer Support Services, PFE partners with Commercial Technical Support and Enterprise Services to strengthen the Microsoft Services field engineering capability worldwide.
In this position, I have worked with various Microsoft customers related to their SQL Server usage on on-premises, virtualized and Azure environments. My SME area is the database engine with high proficiency on high availability, disaster recovery, SQL Server performance, monitoring and manageability. As a Premier Field Engineer at Microsoft, I specialized in proactive and consulting assistance for SQL Server environments.

Customer SupportSQL Server PerformanceHigh AvailabilityDisaster RecoveryTechnical SupportSQL Server Expertise

Support Escalation Engineer

Aug 2006 – Dec 2011 · 5 yrs 4 mos

Microsoft's Customer Service and Support organization provides technical support for Enterprise Customers. I was part of the team that provided Escalation assistance for Microsoft SQL Server and it's related technologies for Tier-1 customers. This required deep expertise in fixing/troubleshooting complex issues related to SQL Server over a varied range of environments which could be a deployment handling just 100 users or 10 million users.
This involved development and implementation of strategies for providing proactive support resulting in fewer incidents, increased availability, or accelerated deployments. As an Escalation Engineer, a core compentency was the ability to debug complex customer issues with the help of diagnostic data, memory dumps and source code.

Technical SupportSQL Server TroubleshootingProactive Support StrategiesSQL Server Expertise