Work Location: Bangalore, Hyderabad, Chennai, Kolkata Must Have Technical/Functional Skills Required Experience · 8-10 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 · Experience working with Asset Management, Investment Management, or Wealth Management organizations. · Strong experience in Agile, Scaled Agile, or Hybrid delivery models. 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 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 contemporary 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

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