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Job Description
Structured overview of role & requirementsAbout This Role
Design and architect scalable end-to-end data solutions including data lakes, warehouses, ETL/ELT pipelines, and APIs for high-velocity, low-latency data processing.
Lead automation and orchestration of complex data workflows ensuring data integrity, availability, and compliance with governance standards.
Collaborate with business and IT teams to translate requirements into data architecture, conduct architectural reviews, and recommend process improvements.
Minimum Requirements
5+ years experience in data architecture, data engineering, or related field.
Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or related field.
Proficient in programming languages such as Python, Java, or Scala and tools like Apache Spark, Kafka, and Airflow.
Experience with cloud platforms (Azure or Google Cloud) and data governance frameworks.
Ideal Candidate Profile
Experienced at leading complex data engineering projects involving scalable, real-time data pipelines and orchestration.
Strong technical expertise in modern data stack tools and cloud-native services with proven ability to design resilient data architectures.
Ability to work cross-functionally to shape data-driven solutions aligned with business needs for a global retail client partnership.