Senior Data Engineering Manager

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 role

We are seeking a highly skilled Senior Data Engineering Manager to lead our data engineering team within the Enterprise Data and AI team. This role is pivotal in developing scalable data and analytics solutions, implementing high-quality codebases, and collaborating with various teams to drive product innovation. The ideal candidate will have extensive experience with Azure, Fivetran, Snowflake, Databricks, and a strong understanding of data architectures within the FinTech industry.​

What you will be doing

• Lead and manage a team of data engineers to design, develop, and maintain scalable data pipelines and platforms.​
• Architect and implement robust data solutions using Fivetran, Azure Data Services Snowflake, and Databricks.​
• Ensure data integrity, security, and governance across all data initiatives.​
• Collaborate closely with business partners, managers, and engineers to facilitate needs into technical solutions and drive product innovation.
• Drive ETL/ELT best practices and optimize data pipelines for performance and cost efficiency.​
• Establish and enforce data engineering standards, including coding practices, documentation, and testing strategies.​
• Act as a subject matter expert on data and analytics topics, providing technical guidance to stakeholders and contributing to technical documentation and knowledge-sharing efforts.​

What you bring

• 8+ years of experience in data engineering, with at least 3+ years in a leadership role.​
• Proven expertise in Azure Data Services, Snowflake, and Databricks.​
• Strong understanding of data modeling, ETL/ELT pipelines, and real-time data processing.​
• Experience in developing complex, high-performance analytics applications with a focus on user experience, performance, and scalability.​
• Familiarity with CI/CD, DevOps, and Infrastructure as Code (IaC) for data pipelines.​
• Excellent leadership, communication, and stakeholder management skills.​

Bonus if you have

• Experience with Kafka, Airflow, or other data orchestration tools.​
• Knowledge of machine learning workflows and MLOps.​
• Hands-on experience with PCI and data governance frameworks (GDPR, CCPA, etc.).​
• Certifications in Azure, Snowflake, or Databricks.​

What we offer you

• A competitive salary and benefits.

• A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities.

• Varied and challenging work to help you grow your skillset.

• 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 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.

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