The Role:

• Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing Data systems

• Work closely with business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable

• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems

• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way

• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains

• Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources

• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

 What we are looking for:

• Bachelor’s degree in Computer Science /Information Systems/Engineering/related field

• Overall 12 years of experience in software engineering

• At least 5 years of experience in Data engineering, familiar with large dataset

• Expert in few of the following: Apache Spark, Streaming, Flink, Kafka, Trino

• Expert coder with strong data structure and problem-solving skills.

• A good understanding of data architecture principles preferred

• Proven track of record for great learning skills, love to solve challenging problems

• Take a hands-on role in influencing and guiding day-to-day development activities by leading architecture decisions, participating in designs, design review, code review, and implementation