Senior Data Platform Engineer | Lakehouse & Streaming Data
We’re looking for an experienced Data Platform Engineer to build and own the data lakehouse for a large-scale gaming and financial platform serving 12M+ active users.
You'll manage millions of daily transactions, including bets, wallet movements, and live odds, ensuring data is accurate, secure, and available for analytics, finance, and regulatory reporting.
This is a hands-on role with ownership of data architecture, ingestion, performance, and governance.
What You'll Do
- Design and manage the data lakehouse using S3, Snowflake, or Databricks.
- Build and maintain data pipelines using Kafka, Debezium, and CDC.
- Implement Bronze, Silver, and Gold data layers using Iceberg or Delta.
- Optimize data storage, query performance, and cloud costs.
- Ensure data accuracy through monitoring, reconciliation, and drift detection.
- Manage data retention, security, access controls, and GDPR compliance.
- Monitor pipeline health and resolve data quality issues.
What We're Looking For
- Strong experience designing and operating cloud data lakehouses.
- Hands-on knowledge of Iceberg, Delta Lake, or Hudi.
- Production experience with Snowflake, Databricks, or BigQuery.
- Experience with Kafka, CDC, and streaming data pipelines.
- Strong SQL and data modeling skills.
- Experience optimizing large-scale data processing (TB+).
- Understanding of data quality, reconciliation, and governance.
- Experience with AWS S3 or Google Cloud Storage.
- Working knowledge of Python and Airflow or Dagster.
Nice to Have
- Experience with financial transactions, wallets, ledgers, or gaming platforms.
- Knowledge of Trino, Athena, and advanced query optimization.
Interested in owning a mission-critical data platform at scale? We'd love to hear from you.
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