Job Overview:

We are seeking a seasoned Principal Data Engineer with 10+ years of experience to design, build, and scale our next-generation fintech data platform. This is a senior technical leadership role where you will own the architectural strategy for high-performance data lakes, real-time distributed data pipelines, and scalable warehouse models.

Key Responsibilities:

- Pipeline Architecture: Design, build, and maintain highly optimal real-time and batch data pipeline architectures using modern Big Data technologies.

- Warehousing & Lakes: Develop and maintain robust, high-performance data warehouses and data lakes on AWS/GCP to guarantee safe writes, efficient retrieval, and schema evolution.

- Data Modeling & Taxonomy: Author complex SQL queries, design logical/conceptual data models, and create a centralized metadata taxonomy/data dictionary for business stakeholders.

- Stream Processing: Implement real-time data processing pipelines within a microservices architecture using stream tools like Spark-Streaming or Flink.

- Process Automation & DevOps: Advocate for and implement engineering best practices across the team, driving automated tracking, CI/CD deployment logic, TDD workflows, and performance optimization.

- API Integrations: Build data acquisition frameworks to cleanly ingest external datasets through secure enterprise APIs and WebSockets.

Tech Stack & Qualifications:

- 10+ years of direct, hands-on software development experience within a dedicated Data Engineer or Data Architect role.

- Comprehensive expertise utilizing big data infrastructure ecosystems: HDFS, S3, Spark, Flink, Hive, Hbase, Kafka, or Kinesis.

- Advanced proficiency in relational SQL querying along with NoSQL database management systems (Elasticsearch, Cassandra, MongoDB).

- Solid command over workflow orchestration tools (Airflow, Luigi, Azkaban) and object-oriented/functional programming scripting languages (Java, Scala, Python).

- Prior experience working within a dynamic fintech or high-volume transactional platform environment is highly preferred.