About us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

As a lead engineer, you serve as the technical anchor for the engineering team that supports a product. You create, own and are responsible for the application architecture that best serves the product in its functional and non-functional needs. You identify and drive architectural changes to accelerate feature development or improve the quality of service (or both). You have deep and broad engineering skills and are capable of standing up an architecture in its whole on your own, but you choose to influence a wider team by acting as a “force multiplier”.

About this Team:

IT Data Platform (ITDP) is the powerhouse data platform driving Target's tech efficiencies, seamlessly integrating operational and analytical needs. It fuels every facet of Target Tech, from boosting developer productivity and enhancing system intelligence to ensuring top-notch security and compliance.

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

ITDP meticulously tracks tech data points across stores, multi-cloud environments, data centers, and distribution centers. IT Data Platform leverages advanced AI algorithms to analyze vast datasets, providing actionable insights that drive strategic decision-making. By integrating Generative AI, it enhances predictive analytics, enabling proactive solutions and optimizing operational efficiencies.

Basic Qualifications:

• 4 years degree or equivalent experience
• 8+ years of industry experience in software design, development, and algorithm 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 and self-directed education

Preferred Qualifications:

• Experience Big Data tools and Hadoop Ecosystems. Like Apache Spark, Apache Iceberg, Kafka, ORC, Map Reduce, Yarn, Hive, HDFS etc.
• Experience in architecting, building and running a large-scale system.
• Experience with industry, open-source projects and/or databases and/or large-data distributed systems.

Key Responsibilities:

• Data Platform Management: Lead the design, implementation, and optimization of the Data Platform ensuring scalability and data correctness.
• Development: Oversee the development and maintenance of all core components of the platform.
• Unified APIs: Manage and create highly scalable APIs with GraphQL at enterprise scale.
• Platform Monitoring and Observability: Ensure monitoring solutions and security tools to ensure the integrity and trust in Data and APIs.
• Leadership and Mentorship: Provide technical leadership and mentorship to engineering teams, fostering a culture of collaboration and continuous improvement.
• Technology Design and Architecture: Articulate technology designs and architectural decisions to team members, ensuring alignment with business goals and technical standards.