Data Engineer Sr Manager

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 (EDAI) team drives the modernization and intelligence of FIS's global data ecosystem, enabling the company to securely ingest, process, govern, and activate data at scale.

The team builds and operates the platforms that power advanced analytics, machine learning, and AI-driven insights, partnering closely with engineering, product, and business stakeholders to deliver high-quality, reliable, and compliant data solutions.

With a focus on automation, standardization, and platform excellence, EDAI ensures that FIS teams across the enterprise can access trusted data and leverage cutting-edge AI capabilities to accelerate innovation and achieve measurable business outcomes.

What you will be doing

We are seeking a Data Engineering Manager to drive enterprise data solutions within the EDAI team.

In this role, you will combine technical expertise in cloud data engineering with leadership acumen to deliver high-quality, scalable data pipelines. You will oversee end-to-end data ingestion (ELT) using Fivetran, ensure efficient processing on Azure Databricks, and coordinate with downstream analytics teams (leveraging Snowflake and BI tools) to enable data-driven decision making., * Lead the design and implementation of robust ELT pipelines using Fivetran across SaaS, database, file, and custom connectors.

• Serve as the subject matter expert on all Fivetran implementation types, including High-Volume Agent (HVA) for on-premises systems.
• Oversee data transformation and processing using Azure Databricks and related Azure services.
• Ensure data quality, performance optimization, and compliance across all data pipelines.
• Manage and mentor a team of data engineers, fostering best practices and continuous improvement.
• Collaborate with cross-functional teams to align data solutions with business goals.

The ideal candidate has extensive hands-on experience with all Fivetran implementation types and a broad knowledge of database and source technologies, coupled with strong skills in Microsoft Azure and big data processing frameworks., * 8+ years of experience in data engineering, with 2+ years in a leadership role.

• Expertise in Fivetran, including all connector types and deployment models.
• Strong experience with Microsoft Azure, Databricks, and cloud-native data engineering.
• Proficiency in SQL, Python/Scala, and big data processing frameworks.
• Broad knowledge of relational and NoSQL databases, including Oracle, SQL Server, and DB2.
• Excellent communication and stakeholder management skills.

What we offer you

• A modern, global engineering environment using industryleading cloud data technologies.
• Competitive salary, benefits, and extensive professional development opportunities.
• A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities.