Data Engineer Sr Manager, SRE

Position Type : Full time Type Of Hire : Experienced (relevant combo of work and education) 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 (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 This role sits within Enterprise Data and will lead Site Reliability Engineering for three distinct platforms that power data across FIS: the Corporate Data Lake (CDL), the Cloud Data Platform (CDP), and the Enterprise Data & AI Platform (EDAI). You will own platform reliability across ingestion, processing, warehousing, governance, access, and business consumption — with a strong focus on automation, compliance, and operational excellence. Own end‑to‑end platform reliability for CDL (Azure), CDP (AWS + Astronomer + Snowflake), and EDAI (Azure + Fivetran + Databricks + Snowflake). Cross‑Platform (All Three) Lead 24x7 incident response, post‑incident reviews, and continuous improvement; maintain on‑call structures and runbooks. Define and manage SLAs/SLOs, error budgets, and operational standards for ingestion, processing, warehousing, and consumption layers. Implement automation for deployments, monitoring, scaling, recovery, and change management. Establish unified observability (logs, metrics, traces, lineage) and dashboarding for platform health and capacity. What you bring Enterprise Cloud Data Platform Expertise. Proven experience operating multi‑platform enterprise data environments across Azure and AWS. Hands‑on with Snowflake operations (warehouses, scaling, performance tuning, access, cost management). Deep understanding of ingestion, transformation, warehousing, governance, lineage, and consumption patterns. Platform Technologies. Azure services (e.g., AKS, Storage, Key Vault, Monitor) and enterprise identity (Azure AD). AWS services (e.g. identity, networking, monitoring, secrets, batch, lambda) — plus Astronomer (Apache Airflow) administration. Fivetran (enterprise ingestion), Databricks (processing & orchestration), Snowflake (warehousing & distribution). Metadata, lineage, and governance tools and processes; SDC (Secure Data Core) concepts, tokenization/masking, and access workflows. Bonus if you have Experience unifying legacy lakes/warehouses into standardized cloud platforms (Azure and/or AWS). Experience using Datahub by Acryl for governance. Background running Astronomer at scale for production pipelines and integrating with enterprise controls. What we offer you A pivotal leadership role shaping reliability across FIS’s core data platforms (CDL, CDP, EDAI). A modern, global engineering environment using industry‑leading cloud data technologies. Competitive salary, benefits, and extensive professional development opportunities. 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