Senior Data Engineer

The role

We are looking for a Senior Data Engineer to join the team building Tamara's next-generation data core - a multi-cloud data platform spanning Event Streaming, Data Warehousing, and Experimentation. You will be hands-on; designing and operating petabyte-scale streaming and batch systems that run across clouds. This role is ideal for engineers who love solving complex data challenges at scale, think with a platform mindset, and are excited to raise the technical bar of the team around them.

What you will do

Lead the design and build of platform components that run across multiple clouds — addressing portability, cross-cloud replication, HA/DR, and data residency requirements of a regulated fintech environment, and designing against single-cloud lock-in.
Build and operate large-scale event streaming infrastructure on Kafka, including configuration tuning and cross-cluster replication between cloud environments.
Build and maintain real-time and batch data pipelines using tools like Kafka, Spark, and Airflow.
Drive the development of a scalable LakeHouse architecture using modern open table formats such as Iceberg or Delta Lake.
Own reliable, cost-aware operation of multi-cloud data infrastructure — SLO-based observability, data quality, and lineage.
Enable Analytics and Product teams through self-serve data products, well-modeled warehouse foundations and marts, and reusable ingestion (inbound) and consumption (outbound) patterns.
Provide technical leadership to a group of 5-6 engineers and data engineers — leading design reviews, setting engineering standards, and driving knowledge sharing and documentation.

Your Expertise

Our stack today: GCP · BigQuery · Kafka/Redpanda · Debezium · dbt · Spark · Airflow · Terraform · Kubernetes

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**, and experience mentoring or technically leading engineers.
Hands-on experience with streaming platforms (e.g., Kafka) and distributed processing tools (e.g., Spark or Flink) — our event streaming platform is built on Kafka.
Hands-on experience building and operating data pipelines on GCP with BigQuery (and familiarity with multi-cloud patterns).
Working knowledge of LakeHouse formats (Iceberg/Delta/Hudi) and columnar storage like Parquet.
Experience with infrastructure-as-code and cloud-agnostic tooling (e.g., Terraform, Kubernetes) for deploying and operating data platforms across clouds.
Strong in data modeling and optimizing cloud data warehouses — we run on BigQuery and looking to expand to other Cloud DWHs.

Senior Data Engineer

The role

Senior Data Engineer

The role

What you will do

What you need

Nice to have

About Tamara

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