Lead Data Modeler
Infosys is seeking a highly experienced Lead Data Modeler to design and implement scalable, high-performance data models in a Snowflake environment. The ideal candidate will have deep expertise in data modeling principles, Snowflake architecture, and financial services data domains such as risk, compliance, and trading. This role will be pivotal in shaping our enterprise data strategy and ensuring data quality, governance, and regulatory compliance.
Required Qualifications:
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 7+ years of experience in data modeling, with at least 5 years working with Snowflake in a production environment.
Proficiency in designing conceptual, logical, and physical data models.
Strong SQL skills and experience with Snowflake-specific features (e.g., Snowpipe, Streams, Tasks, Time Travel).
Familiarity with data modeling tools (e.g., ER/Studio, ERwin, dbt, or similar).
Understanding of data warehousing principles, dimensional modeling, and normalization techniques.
Prior experience in the financial services industry, with familiarity in domains like risk, compliance, trading, or customer analytics.
Design scalable data models optimized for Snowflake's cloud-native architecture, including use of virtual warehouses, clustering keys, and materialized views.
Develop conceptual, logical, and physical data models that align with financial regulatory requirements (e.g., Basel III, SOX, GDPR).
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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.
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
Preferred Qualifications:
Knowledge of financial data structures and regulatory requirements (e.g., SOX, Basel III, GDPR).
Experience working with data governance, metadata management, and data quality frameworks.
Strong collaboration and communication skills to work with cross-functional teams including data engineers, analysts, and compliance officers.
Ability to translate business requirements into scalable and efficient data models.
Detail-oriented with a focus on data accuracy, consistency, and performance.
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.
Perks and Benefits
Health and Wellness
- Health Insurance
- Life Insurance
- HSA
- Short-Term Disability
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- On-site/Nearby Childcare
Work Flexibility
Office Life and Perks
- Commuter Benefits Program
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Sabbatical
Financial and Retirement
- 401(K)
- Relocation Assistance
Professional Development
- Learning and Development Stipend
Diversity and Inclusion
- Employee Resource Groups (ERG)