Lead, Anaplan & Data Architect
LimeFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
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The role requires expertise in designing scalable data pipelines using Apache Kafka, Flink, or Spark Streaming, orchestration with Apache Airflow, and data solutions including data lakes, warehouses, ETL/ELT pipelines, and APIs.
dunnhumby emphasizes putting the Customer First, enabling businesses to grow by becoming advocates for their customers, with a focus on expertise in handling multi-dimensional data in competitive markets.
Strong candidates will have experience leading architectural reviews, partnering with business and IT teams to translate needs into data architecture, and developing scalable strategies for analytics, ML, and real-time processing.
Customer data analytics for retail optimization
dunnhumby specializes in Customer Data Science, focusing on enhancing customer experiences for retailers and brands through data analysis. The company uses advanced analytics to interpret customer behavior, preferences, and trends, which allows clients to implement targeted marketing campaigns. Instead of storing personal data, dunnhumby analyzes data using unique identifiers from browsers and devices to maintain privacy. Its services include media solutions, customer insights, and personalized marketing strategies, which help clients improve customer engagement and sales. Additionally, dunnhumby Ventures invests in early-stage retail technology startups, ensuring the company remains at the forefront of retail innovation. The main goal of dunnhumby is to empower businesses to create better customer experiences through data-driven insights.