1 month ago
India (city not specified)Senior
Responsibilities
- Design and build multi-cloud data platform components addressing portability, cross-cloud replication, high availability, disaster recovery, data residency, and cloud lock-in.
- Build and operate large-scale Kafka event streaming infrastructure, including configuration tuning and cross-cluster replication.
- Develop and maintain real-time and batch data pipelines using Kafka, Spark, and Airflow.
- Drive scalable LakeHouse architecture using modern open table formats such as Iceberg and Delta Lake.
- Own reliable, cost-aware operation of multi-cloud data infrastructure, including SLO-based observability, data quality, and lineage.
- Enable Analytics and Product teams with self-serve data products, warehouse foundations and marts, and reusable inbound and outbound data patterns.
- Provide technical leadership to 5–6 engineers and data engineers through design reviews, engineering standards, mentoring, knowledge sharing, and documentation.
Requirements
- Preferably 6+ years of experience in data engineering or distributed backend systems, including 3+ years operating large-scale streaming or data platform infrastructure in production.
- Hands-on experience with streaming platforms such as Kafka and distributed processing tools such as Spark or Flink.
- Experience building and operating data pipelines on GCP with BigQuery, plus familiarity with multi-cloud patterns.
- Working knowledge of LakeHouse formats including Iceberg, Delta, or Hudi and columnar storage such as Parquet.
- Experience with infrastructure-as-code and cloud-agnostic tooling such as Terraform and Kubernetes.
- Strong data modeling skills and experience optimizing cloud data warehouses.
- Experience mentoring or technically leading engineers.
- Familiarity with observability tools such as Prometheus, Grafana, and Loki is preferred.
- Exposure to real-time OLAP engines such as ClickHouse, Apache Druid, or Apache Pinot is preferred.
- Prior fintech or regulated-industry experience and awareness of data residency, security, and compliance requirements are preferred.
- Experience with Airflow or similar orchestration platforms is preferred.
Tech Stack
Apache AirflowApache FlinkApache KafkaApache SparkClickHousedbtGoogle BigQueryGoogle Cloud PlatformGrafanaKubernetesPrometheusTerraform
Categories
Data Engineering
About Tamara
Tamara builds a buy now, pay later and payments platform for consumers and retailers, offering installment checkout, a shopping/payments app, and merchant APIs. Founded in 2020 and headquartered in Riyadh, it operates across Saudi Arabia and the GCC, partners with brands like Apple, IKEA, Amazon, SHEIN, noon, and Jarir, and is backed by Sanabil (PIF), SNB Capital, and Checkout.com; it is Saudi Arabia’s first fintech unicorn.