Senior Manager, Data Engineering

🕒 Abril 22

🚗 Michigan – Remoto

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⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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OneMagnify

501 - 1000 funcionários

Fundada em 1967

🤝 B2B

🛍️ Comércio Eletrônico

🤖 Inteligência Artificial

B2B • eCommerce • Artificial Intelligence

OneMagnify é uma empresa focada em criar experiências ótimas para o cliente através da transformação digital. Eles se especializam em uma variedade de serviços, incluindo pesquisa de clientes, experiência de marca, design UI/UX, desenvolvimento de websites, e-commerce e mídia programática alimentada por IA. Ao aproveitar estratégias baseadas em dados e tecnologia, a OneMagnify melhora o engajamento do cliente e desenvolve experiências personalizadas em escala para seus clientes.

Descrição

• Lead Data Platform Architecture and Delivery • Own the technical direction and delivery of cloud-native data platforms built on Databricks and AWS • Lead the design and implementation of Lakehouse architecture — Delta Lake, Unity Catalog, Spark-based processing — across client engagements • Ensure scalability, performance, security, and cost optimization are built into solutions from the start, not addressed after delivery • Build and Optimize Data Pipelines • Oversee ingestion, transformation, and orchestration pipelines across both batch and streaming workloads • Apply AWS-native services (Glue, Step Functions, Lambda, Redshift, S3) alongside Databricks to build reliable, production-grade pipelines • Establish reusable pipeline patterns and delivery accelerators that raise consistency across the team • Enable AI, ML, and GenAI Use Cases • Ensure data is accessible, trusted, and production-ready to support model development and deployment across AI and GenAI initiatives • Collaborate closely with data science and analytics teams to align platform capabilities with active and planned AI programs • Contribute to client AI roadmap conversations by translating platform decisions into clear enablement strategies • Engage Clients on Technical Strategy • Participate in client-facing architecture reviews and technical strategy sessions, communicating complex platform concepts as practical business outcomes • Support senior leadership in executive briefings and help clients make confident decisions about platform direction and investment • Partner with strategy and delivery teams to scope and structure data platform engagements • Develop the Data Platform Team • Lead, mentor, and grow a team of data engineers, architects, and platform specialists • Set technical standards and create an environment where craft and continuous improvement are expected • Identify skill gaps and help build the team's capabilities alongside the growth of OneMagnify's data practice

🎯 Requisitos

• 7+ years of experience in data engineering, data architecture, or analytics, with at least 2 years in a team leadership role • Proven hands-on experience with Databricks in production environments (Delta Lake, Unity Catalog, Spark) • Deep experience with AWS data services — Glue, Redshift, S3, Lambda, Step Functions — in production • Strong expertise in modern data patterns: Lakehouse architecture, ELT/ETL, streaming, APIs, and pipeline orchestration • Solid understanding of AI/ML and GenAI ecosystems, including data requirements for model development and deployment • Ability to lead technical teams, communicate clearly with client stakeholders, and drive delivery quality across engagements

🏖️ Benefícios

• medical, dental, and vision coverage • 401(k) retirement plan • paid holidays • Flexible Time Off (FTO) • additional programs focused on wellness, financial security, and professional growth

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