Enterprise Snowflake Engineer

Infosys LTD•Dallas, TX

63d

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

Candidate must be located within commuting distance of Dallas, TX or Tampa, FL be willing to relocate to the area. This position may require travel to project locations.
Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
Overall, 11+ years of experience with 10+ years of experience in data engineering or cloud data solutions on Azure, GCP etc.
Role requires deep expertise in Snowflake architecture, SQL optimization, and data modeling, as well as hands-on experience with GCP BigQuery schemas, UDFs, and partitioning strategies.
Engineer will be responsible for translating query logic, optimizing performance, and ensuring data integrity throughout the migration.
Familiarity with orchestration tools (e.g., Airflow, dbt), secure data sharing, and compliance with financial data governance standards is essential.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate 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

Design scalable data models optimized for Snowflake's cloud-native architecture, including use of virtual warehouses, clustering keys, and materialized views.
Collaborate with data engineers and architects to implement models that support real-time analytics, fraud detection, and risk management.
Ensure data quality and consistency across diverse financial systems such as trading platforms, customer onboarding, and compliance tools.
Integrate structured and semi-structured data (e.g., JSON, XML) using Snowflake's native capabilities to support complex financial reporting.
Document data lineage and metadata to support auditability and transparency for internal and external stakeholders.
Optimize data storage and query performance using Snowflake-specific features like automatic clustering and query profiling.
Support data governance initiatives by aligning models with enterprise data catalogs, stewardship policies, and access controls.
Collaborate with business analysts and compliance teams to translate financial reporting needs into robust data structures.
Continuously refine models based on evolving financial products, market conditions, and regulatory changes.

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