NeerInfo Solutions
Overview
Role: Enterprise Snowflake Engineer/Architect Location: Dallas, TX or Tampa, FL / Peoria, IL 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. Responsibilities
Lead the design, development, and optimization of scalable data solutions on Snowflake. Build robust data pipelines across teams with a focus on data integrity and security. Translate query logic, optimize performance, and ensure data quality throughout migrations. Collaborate with data engineers and architects to implement models that support real-time analytics, fraud detection, and risk management. Design scalable data models optimized for Snowflake’s cloud-native architecture (virtual warehouses, clustering keys, materialized views). Integrate structured and semi-structured data (e.g., JSON, XML) using Snowflake’s native capabilities for complex financial reporting. Utilize orchestration tools (e.g., Airflow, dbt) and ensure secure data sharing with governance compliance. Document data lineage and metadata to support auditability and transparency for internal and external stakeholders. 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. Required Qualifications
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. Deep expertise in Snowflake architecture, SQL optimization, and data modeling; hands-on experience with GCP BigQuery schemas, UDFs, and partitioning strategies. Experience translating query logic, optimizing performance, and ensuring data integrity during migrations. Familiarity with orchestration tools (e.g., Airflow, dbt), secure data sharing, and compliance with financial data governance standards. Design of scalable data models optimized for Snowflake’s cloud-native architecture (virtual warehouses, clustering keys, materialized views). Strong collaboration with data engineers and architects to support real-time analytics, fraud detection, and risk management. Ability to ensure data quality and consistency across diverse financial systems (e.g., trading platforms, customer onboarding, compliance tools). Experience integrating structured and semi-structured data for complex financial reporting. Documented data lineage and metadata for auditability. Understanding of data governance frameworks and compliance standards. Excellent communication and stakeholder engagement skills. Preferred Qualifications
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. Employment Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and IT Consulting 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.
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Role: Enterprise Snowflake Engineer/Architect Location: Dallas, TX or Tampa, FL / Peoria, IL 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. Responsibilities
Lead the design, development, and optimization of scalable data solutions on Snowflake. Build robust data pipelines across teams with a focus on data integrity and security. Translate query logic, optimize performance, and ensure data quality throughout migrations. Collaborate with data engineers and architects to implement models that support real-time analytics, fraud detection, and risk management. Design scalable data models optimized for Snowflake’s cloud-native architecture (virtual warehouses, clustering keys, materialized views). Integrate structured and semi-structured data (e.g., JSON, XML) using Snowflake’s native capabilities for complex financial reporting. Utilize orchestration tools (e.g., Airflow, dbt) and ensure secure data sharing with governance compliance. Document data lineage and metadata to support auditability and transparency for internal and external stakeholders. 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. Required Qualifications
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. Deep expertise in Snowflake architecture, SQL optimization, and data modeling; hands-on experience with GCP BigQuery schemas, UDFs, and partitioning strategies. Experience translating query logic, optimizing performance, and ensuring data integrity during migrations. Familiarity with orchestration tools (e.g., Airflow, dbt), secure data sharing, and compliance with financial data governance standards. Design of scalable data models optimized for Snowflake’s cloud-native architecture (virtual warehouses, clustering keys, materialized views). Strong collaboration with data engineers and architects to support real-time analytics, fraud detection, and risk management. Ability to ensure data quality and consistency across diverse financial systems (e.g., trading platforms, customer onboarding, compliance tools). Experience integrating structured and semi-structured data for complex financial reporting. Documented data lineage and metadata for auditability. Understanding of data governance frameworks and compliance standards. Excellent communication and stakeholder engagement skills. Preferred Qualifications
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. Employment Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and IT Consulting 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.
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