Braze is hiring a Senior Data Engineer to lead the development and management of our data platform, supporting critical data needs and foundational models for the cross-border remittances business. Your focus will be on data warehousing, transformation, and modeling to build robust and scalable data solutions.
What You'll Do
- Design, implement, and evolve data models for core datasets.
- Collaborate with stakeholders to translate commercial objectives into trusted data outcomes.
- Establish and enforce data governance policies for data quality, security, and compliance.
- Implement and maintain data cataloging and metadata management solutions.
- Manage the build and deployment lifecycle for data movement and transformation processes.
- Oversee user access and resource allocation for compute infrastructure.
- Ensure effective use of platform tools for efficient ETL/ELT processing.
- Manage costs associated with all data platform technologies.
- Provide technical leadership and mentorship to other data engineers.
- Evaluate and integrate new data technologies and tools.
What We're Looking For
- At least 7 years of experience in data engineering.
- Strong emphasis on developing data platforms, data modeling, and managing data assets.
- In-depth, hands-on experience with technologies for data ingestion, job orchestration, data warehousing, and reporting.
- Proven ability to design, implement, and manage robust ETL/ELT pipelines using various tools (e.g., Spark, dbt).
- Strong experience with cloud data platforms (e.g., AWS, GCP, Azure), including compute, storage, and database services.
- Proficient in SQL and advanced programming in at least one language (e.g., Python, Scala, Java).
- Experience with workflow orchestration tools (e.g., Astronomer, Apache Airflow).
- Solid understanding and practical experience with data governance principles, data cataloging, and metadata management.
- Demonstrated ability to optimize data platform performance and manage compute resources efficiently.
- Excellent analytical and problem-solving skills with meticulous attention to detail.
- Strong communication and interpersonal skills.
Nice to Have
- Experience in the financial services or FinTech industry, specifically with cross-border payments.
- End-to-end experience building data platforms using industry-standard tools: Fivetran (ingestion), Databricks (lakehouse), Astronomer/Apache Airflow (orchestration), and Metaplane/Datadog (observability).
- Proficiency in data modeling tools and techniques (e.g., dbt).
- Familiarity with modern data lake formats such as Delta Lake and Iceberg.
- Experience with real-time data processing and streaming technologies (e.g., Flink, Epsio).
- Experience with infrastructure as code (e.g., Terraform).
- Familiarity with data observability and monitoring tools (e.g. Metaplane, Datadog).
- Proficiency in BI and data visualization tools; experience using Mode is preferred.
- Experience using Blackline or Autorek reconciliation software.
Technical Stack
- Languages & Query: SQL, Python, Scala, Java
- Processing & Modeling: Spark, dbt
- Cloud Platforms: AWS, GCP, Azure
- Orchestration: Apache Airflow, Astronomer
- Ingestion & Observability: Fivetran, Metaplane, Datadog
- Lakehouse & Formats: Databricks, Delta Lake, Iceberg
- Streaming & Infrastructure: Flink, Epsio, Terraform
- Visualization: Mode
Benefits & Compensation
- Unlimited Annual Leave
- Private Medical Cover (opt-in scheme)
- Retirement pension schemes
- Life Assurance
- Competitive parental leave schemes
- Remote-first organization with flexibility
- Secondary perks depending on location (e.g., cycle-to-work scheme, employee discounts)
Work Mode
This is a remote-first role open to candidates based in the UK.
Braze is an equal opportunity employer.
