
201 - 500 funcionários
Fundada em 2010
💼 Consultoria
📦 Logística
📣 Marketing
💰 $11.900.000 Series G em 2017-05
Consulting • Logistics • Marketing
A Cardlytics é uma empresa que opera uma plataforma de publicidade digital integrada aos canais digitais dos bancos. Esta plataforma é projetada para impulsionar vendas incrementais e fornecer uma compreensão abrangente do comportamento de consumo por meio de inteligência de compra. A Cardlytics ajuda os profissionais de marketing e os bancos, oferecendo insights sobre os gastos e tendências dos consumidores, permitindo campanhas de marketing direcionadas. A empresa colabora com os principais bancos nos EUA e no Reino Unido para oferecer programas de recompensas personalizados aos consumidores, aumentando a fidelidade do cliente e o engajamento digital. A Cardlytics efetivamente conecta anunciantes com clientes bancários, utilizando dados de compras para criar estratégias de marketing impactantes.
🕒 Julho 20
🇺🇸 Estados Unidos – Remoto (EUA)
⏰ Tempo Integral
🟠 Sênior
🧑💻 Engenheiro Full-stack
🦅 Patrocina Visto H1B
👻 Score fantasma 18%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

201 - 500 funcionários
Fundada em 2010
💼 Consultoria
📦 Logística
📣 Marketing
💰 $11.900.000 Series G em 2017-05
Consulting • Logistics • Marketing
A Cardlytics é uma empresa que opera uma plataforma de publicidade digital integrada aos canais digitais dos bancos. Esta plataforma é projetada para impulsionar vendas incrementais e fornecer uma compreensão abrangente do comportamento de consumo por meio de inteligência de compra. A Cardlytics ajuda os profissionais de marketing e os bancos, oferecendo insights sobre os gastos e tendências dos consumidores, permitindo campanhas de marketing direcionadas. A empresa colabora com os principais bancos nos EUA e no Reino Unido para oferecer programas de recompensas personalizados aos consumidores, aumentando a fidelidade do cliente e o engajamento digital. A Cardlytics efetivamente conecta anunciantes com clientes bancários, utilizando dados de compras para criar estratégias de marketing impactantes.
• Design and evolve the Cardlytics next-generation architecture; establish reference architectures and standards for batch, streaming, ML, and AI/agentic workloads • Build out the semantic layer, feature store, and data ontology that make Cardlytics data consumable by AI/agentic applications; enable governed, self-service access for both human and machine (LLM/agent) consumers • Serve as the primary technical partner for analysts, engineers, and business users; develop self-service guides, onboarding materials, and best-practice documentation to reduce friction across all user groups • Set technical direction for the platform and mentor engineers across the data and platform teams; drive engineering excellence and best practices, and manage the vendor relationship • Define monitoring standards and SLAs, lead performance tuning for Spark jobs, open table formats (e.g. Delta, Hudi), and SQL query engines; own incident response and root-cause analysis • Drive adoption of a unified governance layer (e.g., Databricks Unity Catalog) for centralized RBAC, column-level security, data lineage, and metadata management; implement and maintain security best practices including encryption and audit logging • Define the operating model and guardrails for the managed lakehouse platforms (including Databricks on AWS) — compute policies, access model, catalog structure, and cost governance — with day-to-day administration executed by the platform and domain teams working within those standards • Own the CI/CD strategy for lakehouse and data platform deployments (Terraform, GitHub Actions, and platform-native packaging such as Asset Bundles); enforce DevOps practices across engineering teams
• 7+ years of experience in data engineering or data platform roles, with at least 2 years in a technical lead or architecture capacity • Deep, hands-on expertise with the leading industry platforms, frameworks, and tools: Databricks, AWS EMR or similar, Delta Lake, Unity Catalog, Spark (PySpark), and SQL; with a solid understanding of compute/cluster management on AWS • Proven experience designing and delivering Lakehouse architectures and large-scale ELT/ETL pipelines in production environments • Proficiency in Infrastructure as Code tools, such as Terraform • Demonstrated experience supporting diverse stakeholder groups including analysts, engineers (including ML engineers), and non-technical business users • Strong understanding of data governance, data modeling, and cloud security best practices • Excellent communication and collaboration skills, with the ability to translate technical concepts for non-technical audiences.
• Flexible paid time off plus company holidays • Medical, dental, and vision insurance begins on your first day • 401(k) retirement plan with company match, plan also includes a student loan debt repayment option • Employee Stock Purchase Plan • Educational assistance for continuing education • Lifestyle Spending Account for physical, emotional, and financial wellness (like gym memberships, home down payments, art classes, park passes, and more!) • Complimentary Calm app subscriptions to support employee mental health and wellbeing
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