Engineer Lead, Data

FIS Management Services LLC; Atlanta (GA); Presencial; USD 150 000 - 190 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary and benefits

Resumo da oferta

FIS is seeking a data platform engineer to design and operate enterprise Snowflake-based capabilities across data sharing, governance, and cloud integration. You will work hands-on while providing technical leadership to improve performance, security, and cost efficiency in a production environment.

The role requires strong SQL/Python skills, automation experience, and collaboration with product, security, and cloud teams. Prior Snowflake and cloud platform expertise is essential for success.

Qualificações

• Advanced hands-on knowledge of Snowflake administration and engineering.
• Proficiency with SQL and Python, plus automation workflows through Git and CI/CD.
• Experience implementing secure data-sharing, IAM, encryption and least-privilege access.
• Knowledge of AWS and/or Microsoft Azure and their integration with modern data platforms.
• Ability to translate business, security and operational requirements into scalable designs.
• Demonstrated technical leadership, problem-solving and communication across teams.
• Bonus if Snowflake certification or comparable platform experience.
• Experience with Databricks, Terraform, Streamlit, Snowflake Cortex or governed AI platform capabilities.
• Knowledge of PCI DSS, SOX or other controls for regulated financial data.
• Experience supporting data-product migrations or client onboarding.

Responsabilidades

• Lead the design and delivery of enterprise data-platform capabilities centered on Snowflake.
• Combine hands-on engineering with technical leadership to improve secure data sharing, platform automation, governance, performance and resilience.
• Partner with product, security, cloud and data teams to move complex solutions from design through production.
• Lead the design, engineering and support of Snowflake platform capabilities, including account onboarding, data products, secure data exchange and client-facing data services.
• Define reusable patterns for Snowflake Secure Data Sharing, listings and reader accounts, with access controls, masking, validation and operational documentation.
• Build and improve platform automation using SQL, Python, Streamlit, Git-based workflows and infrastructure-as-code practices.
• Establish and maintain platform controls for role-based access, data classification, encryption, audit evidence and compliance with security requirements.
• Optimize platform performance and cost through workload analysis, warehouse sizing, resource monitoring, budget controls and usage attribution.
• Provide technical direction, review solution designs, resolve complex production issues and mentor engineers across data and cloud platform work.

Conhecimentos

Snowflake admin

SQL

Python

Automation

Git & CI/CD

Data governance

Cloud platforms

Leadership & comms

Ferramentas

Snowflake

Databricks

Terraform

Streamlit

Snowflake Cortex

Descrição da oferta de emprego

Job Description

About FIS Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.

About the team

The Enterprise Data & AI team builds and operates FIS data platforms that enable secure, reliable and governed use of data across banking, capital markets and corporate functions. The Snowflake platform team supports data engineering, platform administration, product onboarding, secure data exchange, cost optimization and regulatory controls across cloud environments.

What you will be doing

• You will lead the design and delivery of enterprise data-platform capabilities centered on Snowflake.
• You will combine hands-on engineering with technical leadership to improve secure data sharing, platform automation, governance, performance and operational resilience.
• You will partner with product, security, cloud and data teams to move complex solutions from design through production.
• Lead the design, engineering and support of Snowflake platform capabilities, including account onboarding, data products, secure data exchange and client-facing data services.
• Define reusable patterns for Snowflake Secure Data Sharing, listings and reader accounts, with appropriate access controls, masking, validation and operational documentation.
• Build and improve platform automation using SQL, Python, Streamlit, Git-based workflows and infrastructure-as-code practices.
• Establish and maintain platform controls for role-based access, data classification, encryption, audit evidence and compliance with security requirements.
• Optimize platform performance and cost through workload analysis, warehouse sizing, resource monitoring, budget controls and usage attribution.
• Provide technical direction, review solution designs, resolve complex production issues and mentor engineers across data and cloud platform work.

What you bring

• Strong experience designing and operating enterprise data platforms, with advanced hands-on knowledge of Snowflake administration and engineering.
• Proficiency with SQL and Python, plus experience building reliable automation and deployment workflows through Git and continuous delivery practices.
• Experience implementing secure data-sharing, identity and access management, encryption, data protection and least-privilege role models.
• Working knowledge of public cloud services in AWS and/or Microsoft Azure and their integration with modern data platforms.
• Ability to translate business, security and operational requirements into scalable technical designs and clear implementation plans.
• Demonstrated technical leadership, problem-solving and communication skills across distributed engineering and stakeholder teams.
• Bonus if you have Snowflake professional certification or comparable advanced platform experience.
• Experience with Databricks, Terraform, Streamlit, Snowflake Cortex or governed AI platform capabilities.
• Knowledge of PCI DSS, SOX or other controls relevant to regulated financial-services data.
• Experience supporting data-product migrations, platform modernization or high-volume client onboarding.

What we offer you

• A competitive salary and benefits.
• A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities.
• A variety of career development tools, resources and professional education opportunities.
• The chance to work on some of the most challenging, relevant issues in financial services and technology.
• A work environment built on collaboration, flexibility and respect.

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here.

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test.

ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model Recruitment

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.