Fampay

Data Engineering Lead

Job Description

About Fam (previously FamPay)
Fam is India's first payments app for everyone above 11. FamApp helps make online and offline payments through UPI and FamCard. We are on a mission to raise a new, financially aware generation, and drive 250 million+ youngest users in India to kickstart their financial journey super early in their life.

Founded in 2019 by IIT Roorkee alumni, Fam is backed by some of the most respected investors around the world like Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital) India, Venture Highway, Global Founder’s Capital and the likes of Kunal Shah, Amrish Rao as angel investors.

About the Role
We’re looking for a Data Engineering Lead to take complete ownership of our data ecosystem — from acquiring and ingesting data from multiple sources, through structuring and storing it in well-designed, accessible formats, to enabling reporting, analytics, and product-driven insights.
You will set the vision and strategy for how data flows through the organization, ensuring our systems are scalable, reliable, and aligned with business priorities. This includes supporting both batch and real-time needs, enforcing strong governance, and ensuring that data is accurate, complete, and trusted across teams.




Perks That Go Beyond the Paycheck
• Relocation assistance to make your move seamless.
• Free office meals (lunch & dinner).
• Generous leave policy, including birthday leave, period leave, paternity and maternity support, and more.
• Salary advance and loan policies for any financial help.
• Quarterly rewards and recognition programs, and a referral program with great incentives.
• Access the latest gadgets and tools.
• Comprehensive health insurance for you and your family, mental health support.
• Tax benefits with options like food coupons, phone allowances, car/device leasing.
• Retirement perks like PF contribution, leave encashment and gratuity.


Here’s all the tea on FamApp ☕️
FamApp focuses on financial inclusion of the next generation by providing UPI & card payments to everyone above 11 years old. Our flagship Spending Account, FamX, seamlessly integrates UPI and card payments, enabling users to manage, save, and learn about their finances effortlessly.

Revolutionizing Payments and FinTech
FamApp has enabled 10 million+ users to make UPI and card payments across India, removing the inconvenience of carrying cash everywhere. Users get to customise their FamX card with doodles, which lets them add a personal touch to their payments.

Trusted by leading investors
We’re proud to be supported by renowned investors like Elevation Capital, Y-Combinator, Peak XV (formerly Sequoia Capital India), Venture Highway, Global Founder’s Capital, and esteemed angels Kunal Shah and Amrish Rao.

Join Our Dynamic Team
At Fam, our people-first approach is reflected in our generous leave policies, flexible work schedules, comprehensive health benefits, and free mental health sessions. We don’t mean to brag, but we promise you’ll be surrounded by some of the most fun, talented and passionate people in the startup space.

Want to see what makes life at Fam so awesome? Check out our shenanigans at @lifeatfam 😛
On the Job
  • 10+ years of experience in data engineering, with a proven track record of leading projects or teams.
  • Proven experience leading the design, implementation, and scaling of end-to-end data systems.
  • Strong understanding of the data development lifecycle, from ingestion to final business presentation.
  • Ability to work seamlessly across technical, product, and business teams.
  • Solid grasp of data quality, governance, and compliance principles.
  • Experience ensuring observability and proactive monitoring of data systems.
  • Strong programming skills in Python and SQL; familiarity with Scala or Java.
  • Hands-on experience with streaming and batch data processing frameworks
  • Experience designing large-scale data lakes/warehouses and implementing best practices for schema evolution and partitioning.
  • Strong experience working with AWS (or GCP/Azure) cloud platforms.
  • Domain knowledge in fintech or a similarly data-intensive, regulated industry.
  • Must Haves
  • Own the entire data lifecycle — ingestion, organization, storage, processing, and presentation for business use.
  • Define and implement data architecture and strategy to meet both operational and analytical needs.
  • Build and maintain reliable, observable, and maintainable data systems that handle batch and near real-time use cases.
  • Ensure data quality, completeness, and governance, proactively detecting and resolving discrepancies.
  • Collaborate with product, engineering, and business teams to define, measure, and optimize key business and product metrics.
  • Anticipate and identify data-related issues before they impact the business.
  • Lead, mentor, and grow the data engineering team, fostering a culture of innovation and accountability.

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