Data Architect

Job Type: Permanent

Title: Data Architect

Department: Client Service Platform

Location: Gurgaon/Bangalore

Grade: 4

Reports To: Data Architecture Lead

Were 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.

Data Modeling & Schema Design

• 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.

Snowflake Data Migration & Pipeline Architecture

• 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.

Data Product Specification & Documentation

• 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.

Governance & Standards Compliance

• Ensure all database designs adhere to Fidelitys 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.

Knowledge:

• 36 years of experience in Data Modeling, Data Architecture, or Senior Data Engineering in an enterprise data warehouse environment.
• Strong practical working knowledge of Snowflake (virtual warehouses, clustering, staging, zero-copy cloning, time travel).
• Experience working with relational databases (Oracle, PostgreSQL, or SQL Server).
• Solid understanding of data warehousing methodologies (Kimball dimensional modeling, Inmon relational modeling, Data Vault).
• Experience writing source-to-target mappings and participating in large-scale database migrations.

Skills:

• Advanced SQL proficiency ability to write performant analytical queries, window functions, and complex joins.
• Familiarity with data modeling tools (ERwin, ER/Studio, dbdiagram.io) and version control (Git).
• High attention to detail, structured thinking, and a passion for data accuracy and documentation.
• Excellent team collaboration skills, eager to learn and grow under senior architectural mentorship.