Role & responsibilities

Roles & Responsibilities

Key Responsibilities

Program Leadership & Governance
Lead the Data Tower within enterprise-wide EDO transformation programs.
Define and execute data strategy aligned with business and technology objectives.
Manage multiple delivery teams across data engineering, analytics, governance, and cloud

platforms.
Drive program planning, budgeting, resource management, and delivery governance.
Establish KPIs, SLAs, risk management frameworks, and program health reporting.
Present program status and strategic recommendations to C-level stakeholders.

Data Platform & Architecture Leadership
Lead the design and implementation of up-to-date data platforms leveraging:

• Databricks Lakehouse Architecture

• Azure Data Platform

• AWS Data Services

• DBT Transformation Framework

• Define scalable architecture patterns for batch, streaming, and real-time analytics workloads.

• Establish enterprise data standards, best practices, and reusable frameworks. Asset Management Domain Enablement • Drive data initiatives supporting:

• Portfolio Management • Investment Research • Trading & Order Management

• Performance & Attribution • Risk Analytics • Compliance & Regulatory Reporting





• Client Reporting •

Security Master & Reference Data Management

• Collaborate with business stakeholders to define data products and business capabilities. Data Engineering Leadership

• Lead development of enterprise-grade data pipelines using Databricks and cloud-native technologies.

• Define ELT/ETL frameworks utilizing dbt and up-to-date data engineering methodologies.

• Ensure high-quality delivery through automation, CI/CD, testing, and observability practices.

• Optimize data processing costs and performance across cloud environments. Cloud & Platform Management • Provide leadership across Azure and AWS cloud ecosystems. • Define cloud migration and modernization strategies. • Ensure platform security, resiliency, scalability, and governance. • Drive FinOps practices for cloud optimization and cost management. Stakeholder Management • Partner with: • Chief Data Officers • Data Governance Leaders • Portfolio Management Teams • Enterprise Architects • Compliance & Risk Functions • Technology Leadership • Serve as the single point of accountability for Data Tower delivery. ---

📌 Data Engineer Hyderabad (India)
🏢 Tata Consultancy Services
📍 India