Snowflake Data Architect

We are looking for a highly experienced Senior Snowflake Data Architect to 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

• 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.
• Build and standardize Data Development Platforms (DDP) to accelerate engineering productivity.
• Design frameworks for automating data pipelines and data marts at 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 integration across systems.
• Establish reusable patterns and frameworks for enterprise‑wide adoption.
• 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.
• Leverage modern tools, automation frameworks, and AI‑driven agents to 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 .
• 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 .