Engineer Lead, Data
Fis
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This role on the market
9,462 open data roles across 953 companies are on ApplySarthi right now, most of them in Bengaluru (510), Hyderabad (337), Mumbai (160).
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What data roles keep asking for: Python (38%), SQL (33%), AWS (30%), Machine learning (19%), Spark (15%), Databricks (14%), Stakeholder management (13%), Azure (13%) — counted across their open postings here.
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Fis has 551 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for data roles keep coming back to Python, SQL, AWS, Machine learning. Practise those questions before you sit with Fis.
Questions you are likely to be asked
- Why do you want to join Fis?
- What is your experience with Snowflake? Tell me one thing you learned the hard way.
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
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Practise the Engineer Lead, Data at Fis interview free →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 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. #pridepass
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Listed on workday · posted 2026-11-06. ApplySarthi collects openings and links to application pages; the role is advertised by Fis, not by us.