Lead Data Engineer

FinBox: Where Fintech Meets Fun!

Welcome to FinBox, the buzzing hive of tech innovation and creativity!

Since our inception in 2017, FinBox has built some of the most advanced technologies in the financial services space that help lenders like Banks, NBFCs and large enterprises build and launch credit products within a matter of days, not months or years. FinBox is a Series B funded company which is expanding globally with offices in India, Vietnam, Indonesia and Philippines.

Our vision is to build the best-in-class infrastructure for lending products and help Banks & Financial Services companies across the world scale and launch credit programs that set a new standard in the era of digital finance. So far, we've helped our customers disburse Billions of Dollars in credit across unsecured and secured credit including personal loans, working capital loans, business loans, mortgage and education loans. FinBox solutions are already being used by over 100+ companies to deliver credit to over 5 million customers every month.

Why Should You Be a FinBoxer

• Innovative Environment: At FinBox, we foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what's possible in fintech.
• Impactful Work: Your contributions will directly impact the lives of millions, helping to provide fair and accessible credit to individuals and businesses alike.
• Growth Opportunities: We are a Series B funded startup and have ample opportunities for growth, professional development and career advancement.
• Collaborative Culture: Join a diverse and inclusive team of experts who are passionate about making a difference and supporting one another.
  
  

Who's a Great FinBoxer:

At FinBox, we're on the lookout for exceptional folks who are all about innovation and impact. If you're excited to shake things up in the banking & financial services world, keep reading!

Creative Thinkers: If your brain is always bubbling with out-of-the-box ideas and wild solutions, you're our kind of person. We love disruptors who challenge the norm and bring fresh perspectives to the table.

Customer Heroes: Our customers are our champions, and we need heroes who can understand their needs, deliver magical experiences, and go above and beyond to keep them happy.

Team Players: We believe in the power of we. If you thrive in a collaborative environment, value different viewpoints, and enjoy being part of a spirited, supportive team, you'll fit right in.

About The Role

We are looking for a Lead Data Engineer with 7–10 years of experience to design and scale our data platform. You will own data architecture across ingestion, streaming, storage, processing, analytics, security, and reliability in a high-growth fintech environment.

What You'll Do

• Design and scale end-to-end data platforms supporting batch and real-time workloads.
• Build scalable ETL/ELT and CDC pipelines using Kafka, Debezium, Spark/Flink, and Airflow.
• Architect data lakes/lakehouses using S3, Parquet, Iceberg/Delta Lake.
• Design and optimise ClickHouse/Redshift/BigQuery architectures, including schema design, aggregation, sharding, and replication.
• Build multi-tenant data architectures with strong isolation, security, and compliance.
• Drive data observability, lineage, quality, and disaster recovery across critical pipelines.
• Define infrastructure using Terraform and drive compute/storage and cost optimisation.
• Partner with platform and security teams on AWS, VPC, IAM, encryption, and data security.
• Mentor engineers and establish data architecture standards and best practices.
  
  

What We're Looking For

• 7–10 years of strong hands-on Data Engineering experience with architectural ownership.
• Strong expertise in distributed systems — Spark, Flink, and Kafka.
• Hands-on experience with AWS data services — S3, Glue, RDS, MSK, Redshift, DMS, and Athena.
• Strong experience with ClickHouse, BigQuery, Redshift, or Snowflake.
• Expertise in data modelling — Star Schema, Data Vault 2.0, and OBT.
• Strong experience with streaming, CDC, dbt, Python, SQL, and Airflow.
• Hands-on experience with Terraform/CloudFormation.
• Strong understanding of IAM, encryption, VPC, multi-tenancy, and data security.
• Experience building data platforms from the ground up and at significant scale.