Enterprise Snowflake Engineer

Infosys • Dallas, TX

78d

About The Position

Infosys is seeking an experienced Enterprise Snowflake Engineer to lead the design, development, and optimization of scalable data solutions using the Snowflake Data Cloud. This role involves working across teams to build robust data pipelines, ensure data integrity and security, and support enterprise-wide analytics and reporting initiatives.

Requirements

• Bachelor's degree or foreign equivalent required from an accredited institution.
• 11+ years of overall experience with 10+ years in data engineering or cloud data solutions.
• Deep expertise in Snowflake architecture, SQL optimization, and data modeling.
• Hands-on experience with GCP BigQuery schemas, UDFs, and partitioning strategies.
• Familiarity with orchestration tools (e.g., Airflow, dbt) and financial data governance standards.
• Ability to communicate effectively by telephone, email, and face to face.

Nice To Haves

• Certified SnowPro Advanced: Architect.
• Proficiency in Python or .NET for data manipulation and automation.
• Experience with Snowflake features like Snowpipe, Streams, Tasks, and Time Travel.
• Understanding of data governance frameworks and compliance standards.
• Strong understanding of financial services workflows, including Collateral Management and Corporate Action.
• Excellent communication and stakeholder engagement skills.

Responsibilities

• Lead the design, development, and optimization of scalable data solutions using Snowflake Data Cloud.
• Build robust data pipelines and ensure data integrity and security.
• Support enterprise-wide analytics and reporting initiatives.
• Translate query logic and optimize performance during migration.
• Design scalable data models optimized for Snowflake's cloud-native architecture.
• Collaborate with data engineers and architects to implement models for real-time analytics, fraud detection, and risk management.
• Ensure data quality and consistency across diverse financial systems.
• Integrate structured and semi-structured data using Snowflake's native capabilities.
• Document data lineage and metadata for auditability and transparency.
• Optimize data storage and query performance using Snowflake-specific features.
• Support data governance initiatives by aligning models with enterprise data catalogs and access controls.
• Collaborate with business analysts and compliance teams to translate financial reporting needs into data structures.
• Continuously refine models based on evolving financial products and regulatory changes.

What This Job Offers

• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees