Requirements

· 5+ years in data engineering with 2+ years in senior/lead capacity

· Proven experience with financial data systems and regulatory compliance (PCI-DSS, SOC2)

· Multi-cloud architecture experience (AWS, GCP, or Azure)

· Expert SQL and data modeling across multiple databases (PostgreSQL, Snowflake, Redshift, BigQuery)

· Strong Python and/or Dotnet/Java/Scala programming

· Distributed processing frameworks (Spark, Flink, Beam)

· Streaming technologies (Kafka, Kinesis, Pub/Sub)

· Orchestration tools (Airflow, Prefect, Dagster)

· Modern data stack (dbt, Fivetran, data observability tools)

· Architect and build scalable data infrastructure across multi-cloud environments (AWS, GCP, Azure)

· Design and maintain ETL/ELT pipelines processing high-volume financial data with strict accuracy requirements

· Implement real-time streaming pipelines for fraud detection, transaction monitoring, and event-driven workflows

· Establish data governance frameworks ensuring compliance with financial regulations (SOC2, PCI-DSS, GDPR)

· Build and optimize data warehouses supporting analytics, ML, and business intelligence

· Mentor engineers and drive best practices for data quality, security, and performance

· Collaborate with data scientists, analysts, and product teams to deliver data solutions