Job Title: Senior Snowflake Data Architect w/d Strong DBT Experience
Location: Jersey City, NJ 3-4 Days onsite role
Fulltime Role
Job Summary:
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
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 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.
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 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.
- 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.
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