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TamaraSenior Data Engineer
Tamara, a fintech platform operating across the GCC region and backed by Sanabil Investments and SNB Capital, is seeking a Senior Data Engineer to join its…
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About This Role
Tamara, a fintech platform operating across the GCC region and backed by Sanabil Investments and SNB Capital, is seeking a Senior Data Engineer to join its team in India. The company serves over 25 million customers and more than 130,000 partner merchants by offering financial solutions across multiple sectors including retail, healthcare, travel, and education. In this full-on-site role, the selected professional will help create Tamara's next-generation multi-cloud data core,…
Job Description
Tamara, a fintech platform operating across the GCC region and backed by Sanabil Investments and SNB Capital, is seeking a Senior Data Engineer to join its team in India. The company serves over 25 million customers and more than 130,000 partner merchants by offering financial solutions across multiple sectors including retail, healthcare, travel, and education. In this full-on-site role, the selected professional will help create Tamara's next-generation multi-cloud data core, working with event streaming, data warehousing, and experimentation platforms.
This position is well-suited for engineers who enjoy tackling large-scale distributed data challenges, desire a platform-focused approach, and want to mentor a team of five to six engineers. Responsibilities include building multi-cloud data components that address high availability, disaster recovery, and regulatory requirements, as well as managing streaming infrastructure on Kafka and developing scalable LakeHouse architectures with modern open table formats.
Candidates should bring hands-on expertise with distributed processing systems, cloud data warehouses like BigQuery, and infrastructure-as-code tools such as Terraform and Kubernetes. The candidate will also champion data quality, SLO-based observability, and self-serve data products for internal teams while operating in a fast-evolving fintech setting.
Responsibilities
- Design and construct cross-cloud platform components addressing portability, replication, and high availability for a regulated fintech environment
- Operate and configure large-scale event streaming infrastructure using Kafka across multiple cloud environments
- Develop and maintain batch and real-time data pipelines utilizing tools like Kafka, Spark, and Airflow
- Drive the creation of a scalable LakeHouse architecture leveraging open table formats such as Delta Lake or Iceberg
- Manage cost-aware, reliable multi-cloud data infrastructure focusing on data quality, lineage, and SLO-based observability
- Provide technical leadership, set engineering standards, and conduct design reviews for a team of five to six engineers
- Create self-serve data products, well-structured warehouse foundations, and reusable data ingestion and consumption patterns
Requirements
- At least 6 years of total experience in distributed backend systems or data engineering
- Minimum 3 years of production experience operating large-scale streaming or data platform infrastructure
- Hands-on background with streaming platforms like Kafka and distributed processing tools such as Spark or Flink
- Practical experience building and operating data pipelines on GCP and BigQuery
- Working knowledge of LakeHouse formats including Iceberg, Delta, or Hudi, alongside columnar storage like Parquet
- Familiarity with cloud-agnostic tooling and infrastructure-as-code platforms like Terraform and Kubernetes
- Strong background in data modeling and cloud data warehouse optimization
Qualifications
- Familiarity with monitoring and troubleshooting tools such as Prometheus, Grafana, and Loki
- Exposure to low-latency real-time OLAP engines like ClickHouse, Apache Druid, or Apache Pinot
- Prior background working in fintech or another heavily regulated sector with attention to compliance and data security
- Experience utilizing orchestration platforms like Airflow
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and remote status for this role?
This is a full-time, on-site position located in India.
What is the salary for the Senior Data Engineer position?
The salary is not specified in the job posting.
What technology stack does Tamara currently use?
The current stack includes GCP, BigQuery, Kafka or Redpanda, Debezium, dbt, Spark, Airflow, Terraform, and Kubernetes.
Will this role involve leadership responsibilities?
Yes, the role provides technical leadership to a group of five to six engineers and data engineers, which includes leading design reviews, setting standards, and mentoring team members.
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