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Fidelity International in Gurgaon/Bangalore is seeking a Data Architect (Grade 4) to translate business requirements into physical and logical schema designs, and to modernise CSP’s data estate with Snowflake migrations. You will map data flows, author models, and maintain data dictionaries, under mentorship from the Data Architecture Lead.
Required experience includes 3-6 years in data modeling/architecture, strong Snowflake knowledge, and proficiency with Oracle, PostgreSQL, or SQL Server.
Job Type: Permanent
Application Deadline: 21 November 2026
Title: Data Architect
Department: Client Service Platform
Location: Gurgaon/Bangalore
Grade: 4
Reports To: Data Architecture Lead
We’re proud to have been helping our clients build better financial futures for over 50 years. We achieve this by working together and supporting one another across our global business. Join our team and be part of something bigger.
Platform Design & Solutions (PDS) is the architecture and technical governance body across Client Servicing Platforms (CSP). The Data Architecture and Ownership capability within PDS defines data models, migration architectures, certified data products, and data standards supporting client servicing, reporting, and investment operations globally.
The Data Architect (Grade 4) is a foundational data engineering and data modeling specialist responsible for translating business requirements and data domain definitions into physical and logical schema designs, Snowflake data pipelines, and certified Data Product interfaces. Working under the mentorship of the Data Architecture Lead and alongside senior data architects, you will play a crucial role in modernising CSP’s data estate - specifically supporting the strategic migration from the legacy on-premise Client Reporting Database onto Snowflake. You will map source-to-target data flows, author dimensional and relational data models, maintain technical data dictionaries, and validate data product contracts across client reporting, sales and assets, and distribution datasets.
Design and maintain logical and physical data models for CSP data domains using ERwin, ER/Studio, or dbt semantic models. Develop star-schema, snowflake-schema, and normalized table structures in Snowflake optimized for query performance and data sharing. Author comprehensive source-to-target mapping specifications, documenting transformation logic, business rules, and data cleansing requirements.
Partner with delivery engineers to design ingestion and transformation pipelines moving data from legacy Oracle databases (CRDB) to target Snowflake tables. Write and optimize complex SQL transformations, views, and stored procedures in Snowflake. Assist in establishing data reconciliation, automated data validation checks, and regression scripts to guarantee zero data loss during cutover.
Define technical specifications for certified Data Products: table schemas, JSON/Avro payloads, API contracts, and update cadences. Document detailed data dictionary entries, column definitions, and data lineage in enterprise catalogues (Collibra). Work with downstream consuming teams (reporting analysts, Salesforce developers, Tableau dashboard creators) to ensure data products meet functional requirements.
Ensure all database designs adhere to Fidelity’s enterprise naming conventions, data classifications, and retention policies. Assist in classifying sensitive personal data (PII) and configuring masking policies or row-level access controls in Snowflake.
Required Knowledge:
Skills:
For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.