Solution Architect - Snowflake

Qtsolv

Delhi

On-site

INR 4,000,000 - 6,000,000

Full time

8 days ago

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Job summary

Qtsolv is seeking a Solution Architect for Snowflake to define and implement a scalable investment data platform. You will own the end-to-end data architecture, covering ingestion, storage, transformation, and semantic layers with a strong emphasis on security and governance.

You will translate business needs into technical designs, guide engineers, and ensure robust data sharing, compliance, and performance across environments.

Qualifications

  • 10+ years of experience in data architecture, cloud data platforms, or analytics architecture.
  • Hands-on Snowflake architecture and implementation experience.
  • Experience designing data platforms for investment/financial-services domains.
  • Experience with data governance, security, RBAC, lineage, and sensitive data.

Responsibilities

  • Own end-to-end solution architecture for the Snowflake data platform.
  • Design target data architecture: ingestion, storage, transformation, semantics, security, governance, consumption.
  • Define Snowflake architecture across environments, warehouses, databases, schemas, roles, access controls.
  • Translate business requirements into scalable technical designs.
  • Design integration patterns for investment/source systems, market data feeds, and reporting tools.
  • Plan historical data migration and backfill with auditability.
  • Guide engineers during build and ensure quality and performance.

Skills

Snowflake architecture
Data warehouse design
Security & governance
Integration & ingestion
Data migration & backfill
Stakeholder communication

Job description

  • Snowflake architecture and implementation
Solution Architect - Snowflake

Snowflake InvestmentData Platform Implementation

Role Purpose

The SnowflakeSolution Architect will define the target architecture for the investmentdata platform, ensuring that the solution is scalable, secure, governed,performant, and aligned with business and data requirements across public andprivate investment domains.

Domain Focus

Investment data,public/private assets, historical backfill, portfolio reporting, dataquality, and controlled delivery.

Snowflake, clouddata platform, ETL/ELT, data integration, governance, reconciliation, andBI/reporting consumption.

Delivery Context

Sensitivefinancial data environment; structured phased delivery with formalgovernance, sign-offs, and transition to support.

Key Responsibilities
  • Own the end-to-end solutionarchitecture for the Snowflake data platform.
  • Design the target dataarchitecture, including ingestion, storage, transformation, semantic layers,security, governance, and consumption patterns.
  • Define the Snowflakearchitecture across environments, warehouses, databases, schemas, roles, accesscontrols, data-sharing patterns, and performance strategy.
  • Translate business andinvestment data requirements into scalable technical designs.
  • Design integration patterns forinvestment source systems, accounting systems, portfolio systems, market datafeeds, reporting tools, and downstream consumers.
  • Define the approach forhistorical data migration and backfill, including multi-year investmenthistory, data reconciliation, and auditability.
  • Work with security andgovernance teams to define data access, masking, encryption, audit, lineage,and control requirements.
  • Guide Snowflake Data Engineersand Integration Engineers during build and implementation.
  • Review technical deliverables,data models, integration designs, and performance tuning approaches.
Required Experience
  • 10+ years of experience in dataarchitecture, cloud data platforms, data warehousing, or analyticsarchitecture.
  • Strong hands-on experience withSnowflake architecture and implementation.
  • Experience designing dataplatforms for investment management, asset management, wealth management,capital markets, family office, private office, or financial-servicesenvironments.
  • Experience with investment datadomains such as portfolios, holdings, transactions, performance, valuations,cash, benchmarks, market data, reference data, and historical investmentrecords.
  • Experience with public andprivate investment data is strongly preferred.
  • Experience with datagovernance, security, role-based access control, data lineage, and sensitivefinancial data.
Required Skills
  • Snowflake architecture andperformance design
  • Data warehouse and lakehousedesign
  • Security, governance, andaccess-control design
  • Integration and ingestionarchitecture
  • Data migration and historicalbackfill strategy
  • Stakeholder-facing architecturecommunication
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