Hiring: VP Engineering - Data Products Company: dentsu Location: Chicago, IL Job Posted Time: 2026-09-11 14:42:02 Employment Type: Full-time / Remote Target Skills & Keywords : ABAC, AWS, Agile, Airflow, Azure, CI/CD, Cloud Storage, Data Lake, Data Pipeline, Databricks, Docker, ELT, ETL, Enterprise Architecture, Event-Driven, GCP, GitHub, GraphQL, Helm, Istio, JavaScript, Jest, Kafka, Kubernetes, Microservices, MongoDB, Node.js, Okta, Python, REST, RESTful, React, Risk Management, SQL, Service Mesh, Snowflake, Spark, Stakeholder Management, TypeScript, Webpack About the job Required Skills: •Lead, grow and develop a multi-disciplinary engineering organization, providing mentorship to Development Leads and engineers, ensuring team composition is adequate, and hiring to fill gaps. •Set and own the technical roadmap for the data platform, defining reference architectures and design patterns (e.g. medallion/layered architectures) that scale across multiple business units and data domains. •Provide guidance, coaching and mentorship in modern data engineering practices, web application development, and best practices for diagnostics, debugging, testing, deploying, and troubleshooting. •Interface directly with Product and Engineering teams to scope, plan and estimate the technical roadmap, aligning it to broader business goals and helping to forecast delivery timescales. •Evaluate solution options against business requirements and organizational standards; champion rapid prototyping and proof-of-concept work to validate designs and de-risk delivery. •Provide architectural oversight and mentorship to architects and engineers; maintain high standards of design documentation and contribute to the evolution of architectural reference models. •Foster constructive debates between Product, Engineering and UX teams to create scalable, client-focused solutions that solve business problems with software in the shortest sustainable lead-time. •Establish and run governance frameworks for applications and data products, including certification and stewardship processes; ensure compliance with security, data privacy, and regulatory standards. Qualifications: •Strong working knowledge of modern cloud data platforms (Azure Databricks/Spark using Python and associated frameworks, or Snowflake equivalent). •Strong working knowledge of cloud storage solutions (Azure Data Lake, Blob storage, or equivalent). •Strong experience of building data reporting and visualisations using PowerBI, Tableau, or equivalent tools. •Strong knowledge of SQL and data modelling principles. •Strong knowledge and experience of hosting in major cloud platforms (Azure, AWS, or GCP). •Operational familiarity with how AI/ML and agentic systems are integrated with enterprise data platforms. •Knowledge of delivering solutions using a microservice architecture with RESTful protocols and event-driven architectures. •Knowledge and experience of implementing Continuous Integration and Continuous Delivery. •Demonstrated capacity to quickly learn and apply emerging programming languages, frameworks, and platforms. •Comfortable working in an agile environment. Compensation: •$136,000 - $171,500 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!