The role involves leading the design, development, and maintenance of scalable data and analytics platforms to support enterprise initiatives. The individual builds and maintains reliable data pipelines to enable efficient data processing, storage, and access for various stakeholders. Responsibilities include designing distributed data systems for ingesting and transforming data from diverse sources. The position also focuses on implementing data governance frameworks and ensuring data quality and compliance. Furthermore, the role collaborates with cross-functional teams to translate business requirements into technical solutions and mentors junior team members.

The role requires a bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience. Candidates must possess strong experience in data engineering, large-scale data processing, and the development of ETL/ELT pipelines. Proficiency in Python, SQL, and Spark is necessary, along with knowledge of distributed systems and cloud-based environments. Additionally, the position requires an understanding of data governance, metadata management, and Agile development methodologies.