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 SeniorData 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.

About Us

Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments.

At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives. We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.

Jefferies is an equal employment opportunity employer, and takes affirmative action to ensure that all qualified applicants will receive consideration for employment without regard to race, creed, color, national origin, ancestry, religion, gender, pregnancy, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodations to individuals with disabilities, as required by applicable law.

VP - Data Architect - Corporate Data Technology