Lead Engineer

About this Team:

IT Data Platform (ITDP) is the powerhouse data platform driving Target'stech efficiencies, seamlessly integrating operational and analytical needs. Itfuels every facet of Target Tech, from boosting developer productivity andenhancing system intelligence to ensuring top-notch security andcompliance.

Target Tech builds the technology that makes Target the easiest, safest andmost joyful place to shop and work. From digital to supply chain tocybersecurity, develop innovations that power the future of retail whilerelying on best-in-class data science algorithms that drive value. TargetTech is at the forefront of the industry, revolutionizing technology efficiencywith cutting-edge data and AI.

ITDP meticulously tracks tech data points across stores, multi-cloudenvironments, data centers, and distribution centers. IT Data Platform

leverages advanced AI algorithms to analyze vast datasets, providingactionable insights that drive strategic decision-making. By integratingGenerative AI, it enhances predictive analytics, enabling proactive solutionsand optimizing operational efficiencies.

Basic Qualifications:

4 years degree or equivalent experience

8+ years of industry experience in software design, development, andalgorithm related solutions.

8+ years of experience in programming languages such as Java, Python,Scala.

Hands on experience developing distributed systems, large scale systems,database and/or backend APIs.

Demonstrates expertise in analysis and optimization of systems capacity,performance, and operational health

Stays current with new and evolving technologies via formal training andself-directed education

Preferred Qualifications:

Experience Big Data tools and Hadoop Ecosystems. Like Apache Spark,Apache Iceberg, Kafka, ORC, MapReduce, Yarn, Hive, HDFS etc.

Experience in architecting, building and running a large-scale system.

Experience with industry, open-source projects and/or databases and/orlarge-data distributed systems.

Key Responsibilities:

Data Platform Management: Lead the design, implementation, andoptimization of the Data Platform ensuring scalability and datacorrectness.

Development: Oversee the development and maintenance of all corecomponents of the platform.

Unified APIs: Manage and create highly scalable APIs with GraphQLat enterprise scale.

Platform Monitoring and Observability: Ensure monitoring solutionsand security tools to ensure the integrity and trust in Data and APIs.

Leadership and Mentorship: Provide technical leadership andmentorship to engineering teams, fostering a culture of collaborationand continuous improvement.

Technology Design and Architecture: Articulate technology designsand architectural decisions to team members, ensuring alignmentwith business goals and technical standards