Job Description

Work Location: Bangalore, Hyderabad, Chennai, Kolkata

n

Must Have Technical/Functional Skills

n

Required Experience

n

n
- 8-10 years in Data & Analytics programs.
n
- 5+ years leading enterprise-scale data transformation initiatives.
n
- Proven experience managing global delivery teams.
n
- Hands-on experience with Databricks, DBT
n
- Experience working with Asset Management, Investment Management, or Wealth Management
n

n

organizations.

n

· Strong experience in Agile, Scaled Agile, or Hybrid delivery models.

n

Roles & Responsibilities

n

Key Responsibilities

n

Program Leadership & Governance

n

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

n

platforms.

n

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

n

Data Platform & Architecture Leadership

n

n
- Lead the design and implementation of up-to-date data platforms leveraging:
n
- 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.
n

n

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.

n

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.

n

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 ·

n

Serve as the single point of accountability for Data Tower delivery. --- · Required Technical Skills · Databricks · DBT

📌 Senior Data Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru