Jayanta Datta

About Jayanta Datta

Global Cloud Data & AI Engineering Leader with 24+ years of experience driving transformation across large-scale software engineering, data modernization, AI/ML innovation, GTM initiatives, and strategic alliances with Databricks, Microsoft, and Snowflake. Recognized for architecting enterprise-wide data strategies and building modern, AI-first, cloud-native data platforms for industries spanning capital markets, investment banking, global payments, and wealth management.As the Head of Azure Data & AI Engineering and Databricks within Cloud & Data Technology, I spearhead cross-functional programs that deliver scalable, GenAI-optimized data ecosystems—empowering enterprises to accelerate intelligence, automation, and business outcomes. Previously, at Morgan Stanley, I led Data Engineering and Self-Service Analytics for the Post-Trade & Settlements platform, designing enterprise-grade architectures featuring microservices, Data Mesh, and Data-as-a-Product using Azure Data, Snowflake, Databricks, PySpark, MongoDB, and Confluent Kafka.I manage complex end-to-end implementations across REST APIs, Azure Data & AI services, Databricks, Snowflake Cortex, Unity Catalog, Microsoft Fabric, Azure AI Foundry, GCP BigQuery ML, DBT, Python, and MDM frameworks. My recent initiatives advance AI-driven innovation through Agent Chatbots for platform optimization, LLM-powered software development workflows, and Agentic AI for data pipeline automation—leveraging OpenAI, Databricks Genie, AI Assistant, Snowflake Cortex, Lakebridge, and GitHub Copilot.With 10+ years of global leadership experience managing 300–700+ engineers across the US, EMEA, APAC, and India, I specialize in delivering enterprise-scale data transformation and modernization programs that integrate GenAI seamlessly into data engineering ecosystems.**Key Achievements**- Directed multi-cloud data modernization and GenAI adoption initiatives, delivering advanced analytics capabilities and measurable TCO optimization- Architected near real-time, AI/BI-enabled hybrid cloud platforms ensuring regulatory compliance (GDPR, CCPA, ESMA, MiFID, SFTR, HKMA, EuroClear, AML, CTF) and operational excellence- Led petabyte-scale data migrations from legacy systems (Oracle, DB2, Teradata, Greenplum, Sybase, SQL Server, Netezza, Hadoop, Mainframe) to modern AI-ready ecosystems (Azure, Databricks, and Snowflake).

Experience

1. Head of Azure & Databricks Partner Cloud Data & Ai Engineering Advance Analytics & Gen Ai

   Fractal

   Dec 2024 — Present · Gurugram, IN

   As the Global Head of Azure & Databricks Practice and Capabilities, my leadership encompasses:Strategic Vision & Growth Leadership: Defining and driving the strategic roadmap for the Azure Data & AI practice, catalyzing growth in cutting-edge data and AI solutions while providing influential horizontal leadership across the organization.Technology Leadership & Evangelism: Leading and championing innovation across the Azure ecosystem with deep expertise in Microsoft Fabric, Azure Data & AI services, Databricks, PySpark, Snowflake, Generative AI, Azure AI, DevOps, MLOps, and data ingestion/orchestration frameworks such as Spark-based pipelines, Azure Data Factory, streaming solutions, and metadata-driven data platform orchestrationTalent Building & Team Empowerment: Cultivating and mentoring high-performance engineering teams focused on Azure technologies, fostering a collaborative culture that drives excellence and innovation.Business Expansion & Strategic Alliances: Driving business development through strategic client engagements and partnerships, expanding market presence across industries including Consumer Packaged Goods, Healthcare, Finance, and Capital Markets.Technical Advisory & Expertise: Acting as the senior technical authority within the practice, guiding teams on advanced Azure and data engineering best practices, architectural decisions, and emerging technology adoption.Financial Stewardship: Managing the financial health of the Azure practice with accountability for budgeting, revenue forecasting, cost optimization, and driving profitability.Capital Markets & Investment Banking Data Strategy: Architecting technology roadmaps for major financial institutions, including deployment of automation and Generative AI. Designing reference architectures for end-to-end unified data platforms, data-as-a-product frameworks, and modern cloud data architectures tailored for institutional banking, wealth and risk management, and personal banking domains.

Education

• Cotton College

  10+2

  1995 — 1997

• Indian Institute of Management, Lucknow

  PG Diploma Certification, Advanced Strategy Management for Leaders

• National Institute of Technology Silchar

  Bachelor of Technology - BTech, ELE

• National Institute of Technology Silchar

  Bachelor of Technology - BTech

Skills

• Erwin
• Extract, Transform, Load (Etl)
• Cics
• Ibm Db2
• Rexx
• Performance Tuning
• Ibm Aix
• Shell Scripting
• Software Development Life Cycle (Sdlc)
• Business Process
• Data Warehouse Architecture
• Aix
• Databases
• Software Development
• Agile Methodologies
• Jcl
• Greenplum
• Ibm Mainframe
• High Availability
• Mainframe
• Architecture
• Cobol
• Tso
• Sql
• Linux
• Etl
• Vsam
• Software Project Management
• Business Intelligence
• Big Data
• Unix
• Data Modeling
• Db2
• Data Migration
• Relational Databases
• Database Administration
• Sdlc
• Unix Shell Scripting
• Solution Architecture
• Teradata