Wadgaon Budruk Pune Maharashtra Vp data architect corporate data technology Jobs – 15 Open Jobs Today

VP - Data Architect - Corporate Data Technology
Jefferies & Company, Inc. —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Solution Architect - VP
Barclays —Pune, Maharashtra
- Azure
- AWS
- APIs
Engineering Manager - VP
Barclays —Pune, Maharashtra
- Salesforce
- APIs
- AI
Data Modeler/Architect - VP
Barclays —Pune, Maharashtra
- Azure
- Oracle
- SQL
CB Process Optimisation - VP - Securities Transformation
Deutsche Bank —Pune, Maharashtra
- Full-time
- Management
- English
- Presentation skills
- Health insurance
Data Lead - VP
Barclays —Pune, Maharashtra
- Java
- AWS
- Machine learning
VP - Data Engineering & AI
MSCI —Pune, Maharashtra
- Full-time
- SQL
- AI
- Communication skills
Engineering Manager (VP) - Salesforce
Barclays —Pune, Maharashtra
- Salesforce
- APIs
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Application and Integration Dev Lead - VP
Citi —Pune, Maharashtra
- Full-time
- Oracle
- Computer Science
- DevOps
7d
Infrastructure Engineer VP
Barclays —Pune, Maharashtra
- Analysis skills
- APIs
- Budgeting
VP – Salesforce Technical Lead
Barclays —Pune, Maharashtra
- Salesforce
- DevOps
- Java
8d
VP - Post Trade Core Services Tech
Barclays —Pune, Maharashtra
- Oracle
- System design
- Java
Product Owner Credit Risk, VP
Deutsche Bank —Pune, Maharashtra
- Full-time
- Oracle
- Computer Science
- Java
- Health insurance
Senior GCP Engineer, VP
Deutsche Bank —Pune, Maharashtra
- Full-time
- Azure
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- Computer networking
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VP - Data Architect - Corporate Data Technology
Jefferies & Company, Inc. —Pune, Maharashtra
In this role, you will be responsible for designing, building, and maintaining the overall structure of cloud data platforms using Snowflake.
Solution Architect - VP
Barclays —Pune, Maharashtra
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for…

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VP - Data Architect - Corporate Data Technology

Jefferies & Company, Inc. -
Pune, Maharashtra

Apply Now

Job details

Full-time

Qualifications

Jira
Performance tuning
Data modelling
Azure
Cloud architecture
Computer Science
Regulatory reporting
Cost control
Master's degree
SQL
AWS
Bachelor's degree
Scrum
ETL
Agile
Kafka
AI
Communication skills
Data warehouse
Analytics

Full job description

Innovation Hub Overview

Jefferies is creating a Technology Innovation Hub in Pune, a greenfield opportunity to build the systems that power global markets. As our first India technology center, this hub brings together hands on builders who engineer the platforms behind Jefferies’ growth across capital markets, investment banking, and institutional securities. We’re scaling toward an elite team of 500 engineers while maintaining the agility, ownership, and meritocratic spirit that defines Jefferies. From cloud and data to AI, risk, and core business technologies, teams in Pune will lead high impact work with a global mandate.

IT Corporate Technology

Corporate Technology powers Jefferies’ enterprise operations, enabling front-, middle-, and back-office teams to run efficiently, securely, and in compliance at scale. The group delivers and supports integrated platforms across HR, Finance, Compliance & Legal, Treasury, Client Onboarding, Operations, Centralized Data Services, Regulatory Reporting, Loan Operations, and FX Trading, while also leading firmwide digitalization initiatives focused on automation and process efficiency.

The team uses modern technology stack—including AWS and Azure, Snowflake, Qlik Sense, and best-in-class vendor solutions—to build next-generation capabilities in AI/ML, enterprise analytics, and process automation (RPA and low-code/no-code). Roles in Corporate Technology offer hands-on work with cloud, data, and automation platforms, close collaboration with engineers, product managers, and business stakeholders, and end-to-end exposure to how a global financial services firm operates

Job Summary

We are seeking a skilled and detail-oriented Senior Data Architect to join our cross-functional Agile team. In this role, you will be responsible for designing, building, and maintaining the overall structure of cloud data platforms using Snowflake. Define how data is stored, integrated, secured, and used across the organization, making sure the system is scalable, high-performing, and aligned with business goals. You will collaborate closely with backend and frontend engineers, product managers, and analysts to create analytics-ready data models that power application features, reporting, and strategic insights. This is an exciting opportunity for someone who values clean data design, modern tooling, and working at the intersection of engineering and business.

Key Responsibilities

Design enterprise-level data architecture using Snowflake
Define data models, schemas, and standards (star, snowflake, data vault)
Architect data ingestion and transformation strategies (ETL/ELT)
Ensure scalability, performance, and cost optimization in Snowflake
Design data security and governance (roles, policies, masking, compliance)
Choose and integrate tools (dbt, Airflow, Kafka, etc.)
Guide data engineers and review technical designs
Establish best practices and architectural documentation
Collaborate with business, analytics, and leadership teams
Plan cloud architecture across AWS

Mandatory Qualifications & Skills

Deep expertise in Snowflake architecture
Experience with dbt, Airflow, Dagster or streaming tools
Knowledge of Data Vault 2.0
Experience designing enterprise data platforms
Experience with BI tools (Sigma, Qlik)
Advanced SQL and data modeling
Strong knowledge of cloud platforms
Experience with ETL/ELT frameworks
Data warehousing and analytics architecture
Understanding of performance tuning and cost control
Familiarity with data governance, security, and compliance
System-level thinking and Strategic problem-solver
Leadership and mentoring ability
Strong communication and collaboration skills, with the ability to work across engineering and business teams.
Experience working in Agile/Scrum environments and managing work using Jira .

Education & Experience

Bachelor’s or master’s degree in computer science, Data Engineering, or related field
Typically, 7–10+ years’ experience in data engineering or analytics
Proven experience in architecture or lead role
Snowflake and cloud certifications
A track record of building and maintaining scalable dbt projects in a production setting with Snowflake and Airflow.
A strong sense of ownership, documentation habits, and attention to data quality, governance and performance.

#LI-JM1

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vp data architect corporate data technology jobs in wadgaon budruk pune maharashtra

VP - Data Architect - Corporate Data Technology

Solution Architect - VP

Engineering Manager - VP

Data Modeler/Architect - VP

CB Process Optimisation - VP - Securities Transformation

Data Lead - VP

VP - Data Engineering & AI

Engineering Manager (VP) - Salesforce

Application and Integration Dev Lead - VP

Infrastructure Engineer VP

VP – Salesforce Technical Lead

VP - Post Trade Core Services Tech

Product Owner Credit Risk, VP

Senior GCP Engineer, VP

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