Senior Data Engineer

Location: Bengaluru

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 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 Fin Ops 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.

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- · Required Technical Skills
· Databricks
· DBT