Manager, Data Engineer

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🕒 Junho 2

🏈 Alabama, Arizona, +25 estados a mais – Remoto

🏈 Alabama – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $180.000 - $200.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🚰 Engenheiro de Dados

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Digital Media Solutions

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🛍️ Comércio Eletrônico

💸 Finanças

💰 Post-IPO Equity em 2023-03

Advertising • eCommerce • Finance

Digital Media Solutions é uma empresa especializada em conectar consumidores com alta intenção de compra com anunciantes em uma variedade de verticais, incluindo seguros (automóvel, casa, saúde), educação, finanças pessoais e comércio eletrônico. Estabelecida em 2012, a DMS foca em fornecer um serviço superior e soluções inovadoras de publicidade digital de performance. A abordagem da empresa é centrada em conformidade, aproveitando a expertise do setor e priorizando as necessidades dos clientes para garantir a segurança da marca e uma publicidade eficaz. A DMS ajuda anunciantes a alcançarem um retorno superior sobre o investimento em publicidade, enquanto auxilia os consumidores a tomarem decisões de compra informadas. Recentemente, a DMS transferiu a propriedade de seus principais ativos de negócios e subsidiárias para credores existentes e para a Imon Media LTD como parte de um processo de venda supervisionado pelo tribunal.

Descrição

• Lead, mentor, and grow a team of data engineers and architects • Define and execute the technical roadmap for production database systems (MySQL, PostgreSQL, DynamoDB, Elastic) • Own the architecture and governance of binlog replication, logical replication, and CDC workflows • Drive strategy and reliability for ELT/ETL pipelines and Kafka-based streaming architectures • Set standards for performance optimization, query tuning, indexing, and database scaling across teams • Oversee backup, failover, disaster recovery (PITR), and incident response for all production data systems • Drive cost efficiency, infrastructure optimization, and monitoring across cloud-managed data services (AWS RDS, Aurora, DynamoDB) • Champion data integrity, security, and compliance standards across all data engineering work • Partner cross-functionally with backend, data science, infrastructure, and product teams to align on data platform priorities • Establish engineering guardrails, best practices, and documentation to enable team autonomy and quality at scale • Lead the evaluation and selection of next-generation data warehousing technology (Snowflake, Databricks, AWS Redshift Serverless) — assessing performance, cost, ecosystem fit, and migration complexity to inform a platform decision • Own the design of an upgraded data model for the warehouse in partnership with data engineers and architects, establishing standards for schema design, partitioning, access patterns, and downstream consumption • Oversee the end-to-end migration from the current Redshift warehouse — planning the phased approach, managing cutover risk, and ensuring continuity of downstream reporting and analytics throughout

🎯 Requisitos

• 8+ years of data or database engineering experience, with 2+ years in an engineering management role • Deep hands-on experience with MySQL and/or PostgreSQL in high-availability production environments • Proven track record leading and developing teams of engineers in fast-paced, data-intensive environments • Strong expertise in binlog/logical replication and integrating OLTP systems with Kafka • Experience designing and supporting ELT/ETL pipelines safely at scale • Deep understanding of ACID principles, transaction isolation, and database internals • Experience with AWS-managed database services (RDS, Aurora, DynamoDB) and infrastructure cost management • Experience evaluating or migrating data warehouse platforms (Redshift, Snowflake, Databricks, or similar) • Experience designing or redesigning dimensional or analytical data models for large-scale warehouse environments • OLTP vs OLAP workload separation and architectural decision-making experience • Ability to balance performance, cost, and compliance at an organizational level • Strong communication skills with the ability to translate technical complexity for non-technical stakeholders.