Snowflake Data Architect

Job Summary:

We are looking for a highly experienced Senior Snowflake Data Architectto drive the design and evolution of large-scale enterprise data platforms in a data-intensive environment. This role requires a strategic thinker and hands-on architect who can solve complex real-world data challenges optimize for cost and performance and design future-ready data ecosystems.

The ideal candidate will have deep expertise in Snowflake architecture strong experience with financial domain data and a proven ability to design scalable efficient and resilient data solutions. This individual will play a key role in shaping enterprise data strategy enabling advanced analytics and modernizing legacy systems.

Key Responsibilities

Architecture & Design

• Lead the design and development of scalable secure and high-performing Snowflake-based data architectures.
• Define and implement enterprise-wide data models data standards and best practices.
• Architect modern data platforms supporting high-volume high-velocity financial data.
• Design future-ready data ecosystems ensuring scalability flexibility and long-term sustainability.

Problem Solving & Optimization

• Solve complex large-scale data challenges in a high-volume enterprise environment.
• Design cost-effective Snowflake solutions optimizing compute storage and data processing.
• Implement performance tuning strategies for large datasets and complex workloads.
• Drive architectural decisions balancing cost performance and data accessibility.

Data Platform & Engineering Enablement

• Build and standardize Data Development Platforms (DDP)to accelerate engineering productivity.
• Design frameworks for automating data pipelines and data martsat scale.
• Enable self-service data capabilities while maintaining governance and control.

Modernization & Transformation

• Lead initiatives to modernize legacy data platforms and transition to cloud-native architectures.
• Design approaches for data migration transformation and integrationacross systems.
• Establish reusable patterns and frameworks for enterprise-wide adoption.

Leadership & Strategy

• Act as a trusted advisor to leadership on data architecture and platform strategy.
• Proactively identify opportunities and recommend innovative solutions.
• Mentor data engineers and guide teams on best practices architecture patterns and design principles.
• Collaborate with multiple stakeholders including engineering analytics governance and business teams.

Innovation & Automation

• Leverage modern tools automation frameworks and AI-driven agentsto enhance productivity and solution efficiency.
• Continuously evaluate new technologies and tools to improve the data ecosystem.

Required Skills & Qualifications

• 10 years of experience in Data Engineering / Data Architecture with a strong focus on enterprise-scale systems.
• Extensive hands-on expertise in Snowflake architecture and implementation.
• Strong experience in financial services domain(banking markets asset management etc.).
• Proven experience designing cost-optimized high-performance cloud data platforms.
• Deep understanding of:
  • Data architecture principles
  • Data modeling (conceptual logical physical)
  • Data warehousing and lakehouse patterns
• Experience with Data Development Platforms (DDP)and engineering frameworks.
• Strong expertise in SQL and data performance tuning.
• Experience designing and automating data marts and analytical layers.
• Familiarity with modern data engineering tools (e.g. dbt orchestration tools etc.).
• Strong understanding of scalability governance and security in enterprise data systems.
• Ability to operate at both strategic and hands-on technical levels.

Required Skills:

SnowflakeDDPSQLFinancial Service Domain