Role & responsibilities

- 1218+ years in Data & Analytics programs.
- 5+ years leading enterprise-scale data transformation initiatives.
- Proven experience managing global delivery teams.
- Hands-on experience with Databricks, dbt, Azure, and AWS.
- Experience working with Asset Management, Investment Management, or Wealth Management organizations.

Solid experience in Agile, Scaled Agile, or Hybrid delivery models.

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 modern data platforms leveraging:

Preferred candidate profile

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 modern 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 modern 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.

- Required Technical Skills
- Databricks
- DBT
- Azure
- AWS
- Data Governance & Engineering
- Asset Management Domain expertise

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